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653 articles tagged with this entity.
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Towards Understanding Steering Strength
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DiffCVE: Diffusion-based Compressed Video Enhancement
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Think Big, Search Small: Where Capacity Matters in Hierarchical Search Agents?
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Pelican-VLA 0.5: Attending Before Acting Benefits Generalization
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The Appeal and Reality of Recycling LoRAs with Adaptive Merging
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Infinite Worlds with Versatile Interactions
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Non-contact, Real-time, Heart-rate Measurement using Image Processing with Commodity Cameras and AI Agents
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Named-Entity Recognition in the Crime Domain (CrimeNER): Case Study and Dataset
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Reconfigurable Radiology Labels Without Relabeling
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Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents
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Predicting LLM Safety Before Release by Simulating Deployment
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AgentLens: Production-Assessed Trajectory Reviews for Coding Agent Evaluation
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AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems
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Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors
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From Noisy Traces to Root Causes: Structural Trajectory Analysis and Causal Extraction for Agent Optimization
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Monitoring Transformative Technological Convergence Through LLM-Extracted Semantic Entity Triple Graphs
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Reasoning Consistency Scanning: A Framework for Auditing Chain-of-Thought Validity in AI Safety Evaluations
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WildCity: A Real-World City-Scale Testbed for Rendering, Simulation, and Spatial Intelligence
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What Predicts Correctness in Text-to-SQL? A Selective-Prediction Study
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Generalist Vision-Language Models for Fast Radio Burst detection: a zero-shot benchmark against a specialized detector
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Participatory provenance as representational auditing for AI-mediated public consultation
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Open-Ended Scenario Reasoning for Specialist Model Adaptation
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DASH: Dynamic Audio-Driven Semantic Chunking for Efficient Omnimodal Token Compression
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Quantifying Frontier LLM Capabilities for Container Sandbox Escape
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Evaluating calibrated refusal and safe usefulness in dual-use biology settings
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A Guiding Framework for K-12 Teachers in Creating AI-powered Learning Technologies through Vibe Coding
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Finding H. pylori in the Fine Print: Evidence-Linked Multi-Agent Case Finding from Gastric Biopsy Reports
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Beyond Static Evaluation: Building Simulation Environments for Scalable Agentic Reinforcement Learning
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FootsiesGym: A Fighting Game Benchmark for Two-Player Zero-Sum Imperfect-Information Games
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Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety
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Reliable Mislabel Detection for Video Capsule Endoscopy Data
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HumanOmni-Speaker: Identifying Who said What and When
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i-EXAM: Instructable and Explainable Attack Connectivity Graph Modeler
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An Experimental Design Approach to Evaluating Agentic AI's Autonomous Model Discovery
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Narrative-Centered Emotional Reflection: An Early Prototype for AI-Supported Emotional Self-Reflection
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Automated Compliance Mapping in Cloud Security with Domain-Adapted Sentence Transformers
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Danus: Orchestrating Mathematical Reasoning Agents with Fact-Graph Memory
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FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models
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Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs
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Channel-wise Retrieval for Multivariate Time Series Forecasting
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Towards Interpretable Foundation Models for Retinal Fundus Images
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The relationship between reasoning and performance in large language models--o3 (mini) thinks harder, not longer
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Spider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows
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Polyglot Teachers: Evaluating Language Models for Multilingual Synthetic Data Generation
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ROK-FORTRESS: Measuring the Effect of Geopolitical Transcreation for National Security and Public Safety
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Moonstone: A Multimodal Foundation Model and Benchmark for Lunar Remote Sensing
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PromptPET: Privacy-Utility Optimized Prompt Obfuscation
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Don't Wait to Reply: Towards Responsive yet Thoughtful Dialogue through Proactive Thinking
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Reading Between the Dots: Decoding Hidden Computation across Filler Tokens
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Motion Attribution for Video Generation
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Revealing Hidden Model Behaviors with Task-Specific Self-Reports
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Predicting the Emergence of Induction Heads in Language Model Pretraining
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TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
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Geometry of Ordinal Representations in Language Models
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Knowledge-Centric Information Systems
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SMOCS: A Streaming Framework for Simplified Deployment, Monitoring, and Optimization of ML Systems in Production
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A Reliable Context-Aware and Temporal Planning Framework for Autonomous Driving
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VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMs
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Piercing Gilbreath's Conjecture: From Deep Number Theory Insights to Fintech and Cybersecurity
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IRIS: An Intelligent Vision-Language System for Ocular Surface Diseases via Topic Tree and Scene-Driven VQA Generation
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Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation
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A Precedent-Guided Co-Scientist for Side-Effect-Aware Drug Redesign
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VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models
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SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses
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MAGE: View-guided Point Cloud Completion with Efficient Modality Alignment and Adaptive Geometry Enhancement
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Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions
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Metronome: Bound the Cache, Keep the Beat for Real-Time Interaction Model Serving
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Vision Token Manipulation Attacks on Cloud-Edge Inference of Large Vision-Language Models
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OpenGlass: A Sensing-Computing Split Architecture for Local MLLM-Driven Real-Time Visual Assistance
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Builder, Defender, Breaker: The Case Against Removing the Human from the AI-Driven Security Lifecycle
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A Bayesian Approach for the Network Reconstruction of Interdependent Critical Infrastructure Systems from Cascading Failures
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Closing Gaps in Emissions Monitoring with Climate TRACE
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FAST: A Holistic Framework for Optimizing Memory-I/O, Computation, and Sampling in Temporal GNN Training
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EM3M: An Electron Micrograph Dataset for Microstructural Segmentation and Generation
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Anchored Self-Play for Code Repair
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TimeThink: Reasoning with Time for Video LLMs
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TestMate: Test-Time Domain Adaptation Aided by Lightweight Vision Foundation Model
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A Fair Benchmarking of Deep Relational Database Learning Models
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An Exploration of Agentic Information Fusion for Test Maintenance Prediction
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VCB Bench: An Evaluation Benchmark for Audio-Grounded Large Language Model Conversational Agents
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When Simpler Is Better: Evaluating Translation Pipelines for Medieval Latin Manuscripts
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Agent Step Value: State-Transition Measurement with State-Grounded LLM Evaluators
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Toward Trustworthy Large Language Model Agents in Healthcare
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Attention Limited Reward Learning
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PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction
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DC-Motion: Decoupling Structure and Details via Discrete-Continuous Tokens for Human Motion Generation
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UNITY: Attention Flow Networks for Adaptive Conditioning in Diffusion
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When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters
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Human-Centric Reflective Architecture for Human-AI Collaborative Decision-Making
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SPORK: Self-Speculative Forking to Accelerate Agentic LLM Inference
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Efficient Decentralized Multi-task Dataset Valuation via Model Merging
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What is Left for Us? Second Scholarship Against the Degradation of Research by AI
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DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection
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Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models
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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding
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AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression
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PLACEMEM: Toward a Compute-Aware Memory Plane for Lifelong Agents
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CausalGame: Benchmarking Causal Thinking of LLM Agents in Games
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MechMath Agent Team: LLM Driven Agents for Mathematical Research
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Weighted Conformal Prediction for Lab-to-Track Thermal Transfer in EV Motorsport Powertrains
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HAL: Inducing Human-likeness in LLMs with Alignment
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Transformer Geometry Observatory TGO-II: Representational Similarity Observatory
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Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical Codebases
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Conditional Co-Ablation: Recovering Self-Repair Backups in Transformer Circuits
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PPTArena: A Benchmark for PowerPoint Editing
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SpaceEra++: A Unified Framework Towards 3D Spatial Reasoning in Video
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Computer Vision for Wildlife Monitoring: Detecting Brown Howler Monkeys using YOLO
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TCG-AR: Real-Time Multi-View Augmented Reality for Trading Card Game Streaming
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Kara: Efficient Reasoning LLM Serving via Sliding-Window KV Cache Compression
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AI Assistance for Human Review of Default Judgments
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Beyond Detection: Redesigning Assessment and Governande of Generative AI at the Universidad Polit\'ecnica de Madrid (UPM)
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MultAttnAttrib: Training-Free Multimodal Attribution in Long Document Question Answering
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SkillFuzz: Fuzzing Skill Composition for Implicit Intents Discovery in Open Skill Marketplaces
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BRIDGE: Predicting Human Task Completion Time From Model Performance
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RusFinChain: A Russian Benchmark for Verifiable Chain-of-Thought Reasoning in Finance with Fuzzy-Aligned Evaluation
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Beyond Skepticism: Evaluating LLMs Pedagogical Intent Reasoning with the Adaptive Pedagogical Vigilance Framework
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Unlocking Speech-Text Compositional Powers: Instruction-Following Speech Language Models without Instruction Tuning
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SINA: A Fully Automated Circuit Schematic Image to Netlist Generator Using Artificial Intelligence
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Multi-THuMBS: Multi-person Tracking of 3D Human Meshes Beyond Video Shots
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The Eticas AI Risk Taxonomy: Open Infrastructure for Operationalizing AI Audits
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PreScience: A Dataset and Benchmark for Scientific Forecasting
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Polite on the Surface, Broken in Practice: A Curated Dataset for Fixing Generation and Register Failures in Low-Resource Bangla Text Generation
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GaussianEmoTalker: Real-Time Emotional Talking Head Synthesis with Audio-Driven and Blendshape-Based 3D Gaussian Splatting
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AEGIS: A Multi-Task Joint-Embedding Predictive Architecture for Mammography
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GPTKB v1.5: A Massive Knowledge Base for Exploring Factual LLM Knowledge
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Understanding Why Language Models Hallucinate: Testing Reasoning Against Priors
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LV-ROVER: Multi-Stream Tesseract Voting for Maltese Paragraph OCR
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When Context Compensates for Sparse Event History: AlphaEarth for Spatio-Temporal Point-Process Forecasting
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Interpretable vs Learned Encoders for High-Cardinality Fraud Detection
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GameDevBench: Evaluating Agentic Capabilities Through Game Development
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Toward Cybersecurity-Expert Small Language Models
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Utilizing Earth Foundation Models to Enhance the Simulation Performance of Hydrological Models with AlphaEarth Embeddings
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Hardening x402: PII-Safe Agentic Payments via Pre-Execution Metadata Filtering
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Planning over MAPF Agent Dependencies via Multi-Dependency PIBT
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MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules
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Explainable AI for Cancer Drug Response Prediction: Beyond Univariate Feature Attributions
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Readable but Not Controllable: Neuron-Level Evidence for Medical LLM Hallucination
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Clinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI Benchmarking
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LuxIT: A Luxembourgish Instruction Tuning Dataset from Monolingual Seed Data
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Speech Playground: An Interactive Tool for Speech Analysis and Comparison
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Beyond Document Grounding: Span-Level Hallucination Detection over Code, Tool Output, and Documents
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AGI Maze as a Benchmark Framework for World-Modeling Agents
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Leveraging Multimodality for Real-Time Classification of Transients and Variables found by the Zwicky Transient Facility
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BaRA: BFS-and-Reflection Web Data Collection Agent
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ATM: CID-Brokered Pre-Write Admission for Multi-Agent Code Co-Synthesis
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Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
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Large language model-enabled automated data extraction for concrete materials informatics
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FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism
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Multi-Turn Agentic Scientific Literature Search via Workflow Induction
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A Text-Steerable Instrument for Sketching Procedural Soundscapes via Language Models
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Two AI Metrics Diverged: Will it Make All the Difference?
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CoReLIN: Constraint-based Reasoning for Zero-shot Lifelong Interactive Navigation
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ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models
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FLARE-AI: Flaw Reporting for AI
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Training Therapeutic Judges and Multi-Agent Systems for Human-Aligned Mental Health Support
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The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes
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Large Databases Need Small, Open-Weight Language Models
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ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents
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Measuring Judgment Quality in Natural-Language Explanations: Evidence from Forecasting Tournaments
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LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields
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Efficient Public Verification of Private ML via Regularization
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DSIP: A Dynamic Coordination Planner for Signal-Free Intersections using Diffusion-Model-Based Multi-Agent Motion Planning
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Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks
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Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents
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ReplicatorBench: Benchmarking LLM Agents for Replicability in Social and Behavioral Sciences
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Skin-R1: Clinical Knowledge-Guided Dermatological Diagnosis Using Vision-Language Models
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ORCA: Open-ended Response Correctness Assessment for Audio Question Answering
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An Agentic AI Pipeline for Appliance-Level Energy Anomaly Detection and LLM-Driven Recommendations
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Accelerating scientific discovery with Co-Scientist
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MixSarc: A Bangla-English Code-Mixed Corpus for Implicit Meaning Identification
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Manufactured Confidence: How Memory Consolidation Turns Hearsay into Confident Facts
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Unveiling Novelty Evolution in the field of Library and Information Science in China
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Diagnosing and Mitigating Context Rot in Long-horizon Search
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Evidence-Informed LLM Beliefs for Continual Scientific Discovery
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Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation
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PIXELRAG: Web Screenshots Beat Text for Retrieval-Augmented Generation
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Neuromorphic Energy-Aware Learning for Adaptive Deep Brain Stimulation
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Your Data Manifold is Secretly a Reward Model: Shell-LCC for Text-to-Video Generation
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GarmentZoom: Generating Zoomable Images from Garment Listings
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Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries
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Is Lying an Emergent Behaviour in LLMs? Evidence from Gaslighting AI agents in a Sustainability Game
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TrafficAlign: Aligning Large Language Models for Traffic Scenario Generation
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SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models
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BackTranslation2.0 -- A Linguistically Motivated Metric to Assess Sign Language Production
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FAIL: Flow Matching Adversarial Imitation Learning for Image Generation
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Neural Procedural Memory: Empowering LLM Agents with Implicit Activation Steering
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TextClusterLab: An Integrated Framework for Reliable Text Clustering Studies
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Ensemble Learning Based Classification Algorithm Recommendation
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Friend or Foe
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Entity Binding Failures in Tool-Augmented Agents
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AnyBody: Free-Form Whole-Body Humanoid Control from Arbitrary Keypoint Guidance
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TopoAgent: An Agentic Framework for Automated Topology Learning in Medical Imaging
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CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training
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Depth Exploration for LLM Decoding
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ASTAD: Asymmetric Style Transfer for Synthetic-to-Real Adaptation in Autonomous Driving
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Learning to Segment Liquids in Real-world Images
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UCM: Unified Modeling of Camera Control and Memory with Time-aware Positional Encoding Warping for World Models
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To Tab or Not to Tab: Measuring Critical Engagement in AI Code Completion Tools Using Behavioral Signals and Attention Checks
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GLIP: Graph and LLM Joint Pretraining for Graph-Level Tasks
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Golden Hour Divide: Trauma Care Accessibility and Resource Vulnerability in Sri Lanka
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ImprovEvolve: Basin-Hopping Meets LLM-Guided Evolutionary Search
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Capability Gates Are Not Authorization: Confused-Deputy Failures in LLM Agent Frameworks
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SpreadsheetBench 2: Evaluating Agents on End-to-End Business Spreadsheet Workflows
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Towards Human-Level Book-Writing Capability
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EfficientUICoder: A Bidirectional Token Compression Framework for Efficient MLLM-Based UI Code Generation
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Diff-Based Code Corruption using LLMs for Large-Scale Bugfix Benchmarking
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ExACT: Exemplar-Driven Calibrated Refinement for Training-Free Visual Grounding in Remote Sensing Images
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A Hybrid Framework For Crypto-Ransomware Detection In Enterprise Shared Storage
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Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
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High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator
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MARS: A neurosymbolic approach for interpretable drug discovery
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HiComm: Hierarchical Communication for Multi-agent Reinforcement Learning
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AI Trading's Alpha Singularity: Emergent Market Reasoning through Agent-to-Agent Self-Evolution
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Faults in Our Formal Benchmarking: Dataset Defects and Evaluation Failures in Lean Theorem Proving
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Can Fine-Tuning Erase Your Edits? On the Fragile Coexistence of Knowledge Editing and Adaptation
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Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes
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Proof-of-Guardrail in AI Agents and What (Not) to Trust from It
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ML-Powered LDAP Reconnaissance Detection using Weak Supervision
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Reproducing FACTER: Fairness via Conformal Thresholding and Prompt Repair
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MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs
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Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks
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Categorize Early, Integrate Late: Divergent Processing Strategies in Automatic Speech Recognition
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DialogPII: A multilingual dataset of synthetic dialog transcripts to detect personal information
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KrishokChat: A Citation-Grounded Dataset and Benchmark for Bengali Agricultural Advisory
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DeepTrans Studio: Turning Expert Interventions into Shared Team Knowledge in Agentic Translation Workflows
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SafePyramid: A Hierarchical Benchmark for In-context Policy Guardrailing
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Dynamo: Dynamic Skill-Tool Evolution for Vision-Language Agents
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Sampling the Schwinger Model with Gauge-Equivariant Diffusion
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StableMotion: One-Step Motion Estimation with Diffusion Prior
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HunyuanImage 3.0 Technical Report
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MindFlow: Harmonizing Cognitive Semantics and Acoustic Dynamics for Facial Animation Generation in Dyadic Conversations
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Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters
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PRISON: Unmasking the Criminal Potential of Large Language Models
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SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation
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On the Effect of Uncertainty on Layer-wise Inference Dynamics
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Fine-tuning a multimodal large language model for clinician-grade autism behavioral scoring from short home videos
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DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums
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HumanMoveVQA: Can Video MLLMs reason about human movement in videos?
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LieSolver: PDE-Constrained Learning for IBVPs via Lie Symmetries
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JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications
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When Search Agents Should Ask: DiscoBench for Clarification-Aware Deep Search
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When Does Personality Composition Matter for Multi-Agent LLM Teams?
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MultiHashFormer: Hash-based Generative Language Models
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SHIFT: Gate-Modulated Activation Steering for Knowledge Conflict Mitigation in Retrieval-Augmented Generation
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Qwen-Image-2.0-RL Technical Report
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Agentic Publication Protocol: An Attempt to Modernize Scientific Publication
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A UAV-Based Multispectral and RGB Dataset for Multi-Stage Paddy Crop Monitoring in Indian Agricultural Fields
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NASimJax: A GPU-Accelerated Policy Learning Framework for Penetration Testing
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A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models
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Accelerated sampling using SamAdams variable timesteps and position-adaptive Langevin dynamics
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HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization
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Beyond Logical Forms: LLM-Extracted Patterns for Fallacy Classification
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LithoDreamer: A Physics-Informed World Model for Multi-Stage Computational Lithography
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AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems
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Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
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Learning State-Tracking from Code Using Linear RNNs
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RoPEMover: Depth-Aware Object Relocation via Positional Embeddings
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ConflictScore: Identifying and Measuring How Language Models Handle Conflicting Evidence
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PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting
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How Do Tool-Augmented LLM Agents Perform on Real-World Energy Analytics Tasks?
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Low Resource Multimodal Translation of Nepali Spoken Words into Emotion-Conditioned Sign Language Avatars
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From Lexicon to AI: A Structured-Data Pipeline for Specialized Conversational Systems in Low-Resource Languages
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NaviCache: Test-Time Self-Calibration Caching for Video Generation
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ProfileFoundry: A Synthetic Person-Object Substrate for Privacy, Memory, and Tool-Use Evaluation in LLM Agent
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Staying VIGILant: Mitigating Visual Laziness via Counterfactual Visual Alignment in MLLMs
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PhyEditBench: A Real-World Multi-Stage Benchmark for Physics-Aware Image Editing
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auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation
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Detecting and Controlling Sycophancy with Cascading Linear Features
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DMuon: Efficient Distributed Muon Training with Near-Adam Overhead
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Boundary-Aware Context Grounding for A Low-Channel EEG Agent
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Linguistics and Human Brain: A Perspective of Computational Neuroscience
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Einstein World Models
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Context Recycling for Long-Horizon LLM Inference
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Extracting Neural Materials from Multi-view Images
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AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce Pricing
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CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs
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Fast LeWorldModel
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OmniRobotHome: A Multi-Camera Home Platform for Real-Time Human-Robot Interaction
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Sutra: Tensor-Op RNNs as a Compilation Target for Vector Symbolic Architectures
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Soft Token Alignment for Cross-Lingual Reasoning
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Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Queries
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Can Large Language Models Reliably Code Qualitative Humanitarian Data? A Benchmark Study Against Human Expert Adjudication
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How Large Language Models Source Brand Reputation Across Languages and Markets
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Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents
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MacroLens: A Multi-Task Benchmark for Contextual Financial Reasoning under Macroeconomic Scenarios
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Scalable Peptide Design via Memory-Efficient Equivariant Transformer
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Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
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AMVICC: A Novel Benchmark for Cross-Modal Failure Mode Profiling for VLMs and IGMs
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Beyond Visual Forensics: Auditing Multimodal Robustness for Synthetic Medical Image Detection
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HG-Bench: A Benchmark for Multi-Page Handwritten Answer-Region Grounding in Automated Homework Assessment
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Error-Aware TF-IDF Retrieval-Augmented Generation for ASR Error Correction
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A Survey of Toxicity Detection and Mitigation Strategies for Multilingual Language Models
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Automatic Generation of Highlights for Academic Paper Via Prompt-based Learning
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Fault of Our Stars: Behavioral Drivers of Rating-Sentiment Incongruence
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Dziri Voicebot: An End-to-End Low-Resource Speech-to-Speech Conversational System for Algerian Dialect
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AI translation of literary texts is "fine", but readers still prefer human translations
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VPA-Guard: Defending and Benchmarking Image-to-Video Generation Against Visual Prompt Attacks
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Measuring Research Difficulty of Academic Papers: A Case Study in Natural Language Processing
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Neural operator-based digital twins for modeling amyloid-$\beta$ and tau propagation and treatment optimization in Alzheimer's disease
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RotRNN: Modelling Long Sequences with Rotations
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Learning Diachronic Representations of Ancient Greek Letterforms
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Preferences of a Voice-First Nation: Large-Scale Pairwise Evaluation and Preference Analysis for TTS in Indian Languages
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VieSpeaker: A Large-Scale Vietnamese Speaker Recognition Dataset Beyond Visual Dependency
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CN-NewsTTS Bench: a target-level automatic benchmark for raw-input Chinese news TTS pronunciation
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CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction
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ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization
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REALM: A Unified Red-Teaming Benchmark for Physical-World VLMs
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AI Fiction in the Wild
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Paying to Know: Micro-Transaction Markets for Verified Product Information in Agentic E-Commerce
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BioMedArena: An Open-source Toolkit for Building and Evaluating Biomedical Deep Research Agents
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Open-source LLMs administer maximum electric shocks in a Milgram-like obedience experiment
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Self-Recognition Finetuning can Prevent and Reverse Emergent Misalignment
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A P\={a}ninian Foundation for Indic Language Processing
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ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs
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Generating adversarial inputs for a graph neural network model of AC power flow
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Debate2Create: Robot Co-design via Multi-Agent LLM Debate
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FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection
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Grading the Grader: Lessons from Evaluating an Agentic Data Analysis System
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Predicting Poets' Origins from Verse: A Computational Analysis of Regional Linguistic Fingerprints in the Complete Tang Poems
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JupOtter: Cell-Level Bug Detection in Jupyter Notebooks
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MedBench v5: A Dynamic, Process-Oriented, and Hallucination-Aware Benchmark for Clinical Multimodal Models
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Meet UD_Czech-PDTC: A Large and Genre-Rich Treebank in Universal Dependencies
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Exploring Academic Influence of Algorithms by Co-occurrence Network Based on Full-text of Academic Papers
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SP-Mind: An Autonomous Reasoning Agent for Spatial Proteomics Analysis
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Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?
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Data Scale, Not Latency, Shapes Cross-Lingual Encoder Transfer in Streaming ASR
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Prague Dependency Treebank -- Consolidated 2.0: Enriching a Complex Annotation Scheme
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Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution
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Secure Coding Drift in LLM-Assisted Post-Quantum Cryptography Development: A Gamified Fix
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The Hidden Environmental Cost of Poor Coding Practices in TensorFlow and Keras Applications: A Study on Resource Leaks and Carbon Emissions
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TerraMARS: A Domain-Adapted Small-Language-Model Pipeline for Mars Terraforming Literature
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Self-Preference Is Weak or Absent in Verifiable Instruction-Following Revision: A Four-Model Test Under Genuine Authorship
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Human-like autonomy emerges from self-play and a pinch of human data
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Capturing Intransitive Dominance in Tennis Forecasting: A Graph Neural Network Approach
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HGCN(O): A Self-Tuning GCN HyperModel Toolkit for Outcome Prediction in Event-Sequence Data
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REDACT: A Systematically Controlled Multilingual Benchmark for Personal Information Detection
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Source-Grounded Data Generation for Text-to-JSON Learning
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StylisticBias: A Few Human Visual Cues Drive Most Social Biases in MLLMs
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Cinematic Compositing Using Character-Environment-Harmonized Video Generation Models
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HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT
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Thinking in Boxes: 3D Editing in Real Images Made Easy
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SAFE-Cascade: Cost-Adaptive Vision-Language Routing for Chart Question Answering
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PCFootprint: A Large-Scale Dataset and Benchmark for Vectorized Building Footprint Extraction from Aerial LiDAR Point Clouds
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Emergent Alignment
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Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on Robots
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Data Standards for Humanoid Robotics: The Missing Infrastructure for Physical AI
-
Bidirectional Tutoring for Developmental Motor Learning in Robots: Co-Developed Interaction Dynamics Support Stable Learning
-
Dual-Agent Framework for Cross-Model Verified Translation of Natural-Language Protocols into Robotic Laboratory Platform
-
CareTransition-Audit: A Benchmark to Audit Discharge Summaries for Efficient Care Transitions
-
Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software
-
Multi-View Decompilation for LLM-Based Malware Classification
-
Self-Adaptive Scale Handling for Forecasting Time Series with Scale Heterogeneity
-
Multi-Head Attention-Based Feature Extractor Integration with Soft Actor-Critic for Porosity Prediction and Process Parameter Optimization in Additive Manufacturing
-
Where Did the Variability Go? From Vibe Coding to Product Lines by Regeneration
-
HeatKV: Head-tuned KV-cache Compression for Visual Autoregressive Modeling
-
Characterizing Brazilian Atlantic Forest Restoration Outcomes with Geospatial AlphaEarth Embeddings
-
CEO-Bench: Can Agents Play the Long Game?
-
MIDS: Detecting Stealthy Masquerade and Tampering Attacks on CAN Bus via Bidirectional Mamba
-
As Easy as Rocket Science: Assessing the Ability of Large Language Models to Interpret Negation in Figurative Language
-
Machine Unlearning for the XGBoost Model with Network Intrusion Datasets
-
GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
-
Investigating Faithfulness in Large Audio Language Models
-
AI-Driven Assessment of Human Tutors: Linking Training Performance to Real-Life Practice
-
TW-LegalBench: Measuring Taiwanese Legal Understanding
-
Dynamic In-Group Persona Generation for Enhancing Human-AI Rapport
-
PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation
-
G-IdiomAlign: A Gloss-Pivoted Benchmark for Cross-Lingual Idiom Alignment
-
DeepInflation: an AI agent for research and model discovery of inflation
-
LegalWorld: A Life-Cycle Interactive Environment for Legal Agents
-
PreUnlearn: Auditing Collateral Knowledge Damage Before Large Language Model Unlearning
-
Urdu Katib Handwritten Dataset: A Historical Document Dataset for Offline Urdu Handwritten Text Recognition with CRNN-Based Baseline Evaluation
-
IndicContextEval: A Benchmark for Evaluating Context Utilisation in Audio Large Language Models Across 8 Indic Languages
-
FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
-
Continual Adaptation for Pacific Indigenous Speech Recognition
-
Taming I2V models for Image HOI Editing: A Cognitive Benchmark and Agentic Self-Correcting Framework
-
ROSA-TFormer: A Radar-Optical Sensor-Aware Temporal Transformer for Pinus sylvestris Plantation Classification in Northern Shaanxi Using GEE-Derived Sentinel-1/2 Time Series
-
Sensor Configuration Matters: A Systematic Evaluation of Multimodal SLAM on Quadruped Robots
-
Optimal scenario design for climate emulation
-
Riemannian MeanFlow for One-Step Generation on Manifolds
-
EgoCS-400K: An Egocentric Gameplay Dataset for World Models
-
Attention Alignment Between Humans and Vision-Language Models
-
Can LLMs Be CEOs? Benchmarking Strategic Resource Reallocation with Multi-Role Agent Simulation
-
Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation
-
Are you speaking my languages? On spoken language adherence in multimodal LLMs
-
Perceptual compensation for tonal context in self-supervised speech models
-
R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model?
-
Model Validation of Agentic AI Systems: A POMDP-Based Framework for Belief-State, Forecast, and Policy Validation
-
BadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers?
-
Clarify Before You Draw: Proactive Agents for Robust Text-to-CAD Generation
-
Reward hacking in physical reinforcement learning revealed by turbulent drag reduction
-
Evaluating Intersectional Fairness across Clinical Machine Learning Use Cases using Fairlogue and the All of Us Research Program
-
Multi-Source Cybersecurity Logs: An ATT&CK-Labeled Dataset and SLM Evaluation
-
Predictive Analytics in E-Commerce for CustomerBehavior Forecasting using hybrid Ret-DNN withXGBoost Model
-
OmniDrive: An LLM-Choreographed Multi-Agent World Model with Unified Latent Co-Compression for Multi-View Driving Video Generation
-
Flux-Guard: Facial Identity Protection using diffusion models
-
AI Adoption Across a Multinational Workforce: Sociotechnical Conditions for GenAI Acceptance in Human Resources
-
Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks
-
SkillJect: Effectively Automating Skill-Based Prompt Injection for Skill-Enabled Agents
-
Seeing Is Not Screening: Multimodal Hidden Instruction Attacks on Agent Skill Scanners
-
A Benchmark for Omni-Modal Reasoning in Long Videos
-
GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?
-
Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars
-
EComAgentBench: Benchmarking Shopping Agents on Long-Horizon Tasks with Distributed Hidden Intent
-
ProvenanceGuard: Source-Aware Factuality Verification for MCP-Based LLM Agents
-
When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents
-
Disentangling Perception and Reasoning in Multimodal LLMs via Reward Design
-
Conditional Local Importance by Quantile Expectations
-
PreAct: Computer-Using Agents that Get Faster on Repeated Tasks
-
Agentic AI-based Framework for Mitigating Premature Diagnostic Handoff and Silent Hallucination in Healthcare Applications
-
CMIP-Forge: An Agentic System that Retrieves, Computes, and Self-Reviews Climate Science
-
Landsat-Sentinel-2 Algal Bloom Mapping Using Vision Transformers: Model Description, Implementation, and Examples
-
Unifying Post-hoc Explanations of Knowledge Graph Completions
-
SorryDB: Can AI Provers Complete Real-World Lean Theorems?
-
City landscape in sight: A crowdsourced framework for unlocking urban-scale window view perceptions from real estate imagery
-
CausalDrive: Real-time Causal World Models for Autonomous Driving
-
NeRD: Neuro-Symbolic Rule Distillation for Efficient Ontology-Grounded Chain-of-Thought in Medical Image Diagnosis
-
Multi-Task Tennis Stroke Biomechanics Analysis Using MediaPipe Pose
-
VinQA: Visual Elements Interleaved Long-form Answer Generation for Real-World Multimodal Document QA
-
Structure-aware Knowledge-guided Heterogeneous Mamba for Zygomaticomaxillary Suture Assessment
-
Near--Real-Time Conflict-Related Fire Detection in Sudan Using Unsupervised Deep Learning
-
PromptShift-CRC: Drift-Aware Conformal Risk Control for Foundation Models Under Prompt and Domain Shift
-
LLMs on Tabular Data with Limited Semantics: Evidence from Industrial Car Retrofit Prediction
-
Where Did It Go Wrong? Process-Level Evaluation of Web Agents with Semantic State Tracking
-
Formalize Once, Edit the Rest: Efficient Lean-Based Answer Selection for Math Reasoning
-
TreeGRNG: Binary Tree Gaussian Random Number Generator for Efficient Probabilistic AI Hardware
-
HanDyVQA: A Video QA Benchmark for Fine-Grained Hand-Object Interaction Dynamics
-
MASCOT-Android: A Curated Dataset and Automated Collection Pipeline for Android Malware Source Code Specimens
-
Towards Pareto-Optimal Tool-Integrated Agents with Pareto Ranking Policy Optimization
-
CPS4: Class Prompt driven Semi-Supervised Spine Segmentation with Class-specific Consistency Constraint
-
MatchLM2Lite: A Scalable MLLM-to-Lite Framework for Reproduced Content Identification
-
SceneCraft: Interactive System for Image Editing via Scene Graph
-
MIRAGE: Runtime Scheduling for Multi-Vector Image Retrieval with Hierarchical Decomposition
-
Reinforcement Learning for LLM-based Event Forecasting
-
How Post-Training Shapes Biological Reasoning Models
-
Oops, Wait: Discourse Tokens Matter in Reasoning Model
-
MAWARITH: A Dataset and Benchmark for Legal Inheritance Reasoning with LLMs
-
Computational Safety for Generative AI: A Hypothesis Testing Perspective
-
A Unified Definition of Hallucination: It's The World Model, Stupid!
-
MixTeX: Data-Efficient LaTeX OCR via Synthetic Pretraining and Limited Fine-Tuning
-
Let Them Steal: Trapping Large Language Model Extraction Attacks with Knowledge Honeypot
-
Escaping the Cognitive Well: Efficient Competition Math with Off-the-Shelf Models
-
DifFRACT: Diffusion Feature Reconstruction and Attribution for Circuit Tracing
-
A Self Consistency Based Reranking for Narrative Question Answering
-
NVMOS: Non-Verbal Vocalization Quality Assessment in Speech
-
Last But Not Least: Boundary Attention CalibratiON for Multimodal KV Cache Compression
-
OmniTraffic: A Controllable Generation Pipeline and Benchmark for Spatio-Temporal Traffic Reasoning
-
AI Supply Chain Galaxy: 3D Visual Analytics for License Compliance
-
Rational Sparse Autoencoder
-
MultiMolecule: a modular ecosystem for biomolecular sequence-model workflows
-
Tight Bounds for Logistic Regression with Large Stepsize Gradient Descent in Low Dimension
-
The Answer Lies Within: Self-Derived Rewards Enable Explainable Relation Extraction
-
Building Customer Support AI Agents at 100M-User Scale: An Evaluation-Driven Framework
-
Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents
-
Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention
-
TERMS-Bench: Diagnosing LLM Negotiation Agents Beyond Deal Rate
-
Discrimination-free Insurance Pricing with Privatized Sensitive Attributes
-
Beyond Text-to-SQL: An Agentic LLM System for Governed Enterprise Analytics APIs
-
AmchiBias: Measuring Stereotypical Bias in Goan Identity Groups with a Minimal Pair Dataset in English and Konkani
-
SciOrch: Learning to Orchestrate Expert LLMs for Solving Frontier Multimodal Scientific Reasoning Tasks
-
Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning
-
Understanding Scam Trends and Rail Paths from Reddit Self-Disclosure Narratives
-
FraudSMSWalker: Benchmarking Agentic Large Language Models for SMS-to-Webpage Fraud Detection
-
Who Drifted: the System or the Judge? Anytime-Valid Attribution in LLM Evaluation Pipelines
-
AIChilles: Automatically Uncovering Hidden Weaknesses in AI-Evolved Systems
-
PAL-Bench: Evidence-Grounded Profile Reconstruction from Longitudinal Personal Albums
-
AgentFairBench: Do LLM Agents Discriminate When They Act?
-
Do Large Language Models Have Emotions?
-
Knowledge-Based Zero-Replay Debugging of Multi-Agent LLM Traces
-
Simplifying the Modeling of Arbitrary Conditionals in Natural Language
-
Limited Marginal Benefit of Reasoning-Heavy LLM Deployment in ESG Narrative Scoring: A 4-Model Consensus Study on Japanese Listed Firms
-
Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations
-
Label Shift Aware Adaptation for Online Zero-shot Learning with Contrastive Language-Image Pre-Training (CLIP)
-
Gaming-Resistant Insurance Contracts for Autonomous AI Agents: Strategy-Proof Toll Mechanism Design
-
JADE: Expert-Grounded Dynamic Evaluation for Open-Ended Professional Tasks
-
When Do We Need LLMs? A Diagnostic for Language-Driven Bandits
-
A Pragmatic VLA Foundation Model
-
A Robust Point Cloud Analysis Framework Inspired By Primary Visual Cortex
-
When Errors Become Narratives: A Longitudinal Taxonomy of Silent Failures in a Production LLM Agent Runtime
-
GUITrans2Act: Understanding User Operational Behaviors from Mobile GUI Interactions with Vision-Language Models
-
Where Black-box Drug-Target Interaction Prediction Models Look: Cross-Method Explainability
-
$\mu_0$: A Scalable 3D Interaction-Trace World Model
-
BigPower: Hierarchical Source-Level Module Power Estimation for CPUs with Large Language Models
-
A Virtuous AI is an Existential Risk
-
Did You Forget What I Asked? Prospective Memory Failures in Large Language Models
-
MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
-
MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models
-
A Multi-Agent AI System for Automated High School Transcript Processing: Collaborative Document Analysis at Scale
-
Aligned but Stereotypical? How System Prompts Shape Demographic Bias in LLM-Based Text-to-Image Models
-
Listening with Attention: Entropy-Guided Explainability for Transformer-Based Audio Models
-
A New Multi-Domain Benchmark for Micro-Action Recognition and Detection
-
Improving Lunar Topography with Deep Learning Schr\"odinger Bridges
-
FoleyGenEx: Unified Video-to-Audio Generation with Multi-Modal Control, Temporal Alignment, and Semantic Precision
-
Dense Coordinate-List Fine-Tuning Induces a Controllable Interference Surface in Vision-Language Models
-
CacheRL:Multi-Turn Tool-Calling Agents via Cached Rollouts and Hybrid Reward
-
MA-ProofBench: A Two-Tiered Evaluation of LLMs for Theorem Proving in Mathematical Analysis
-
FreoStream:Enhancing Stream Guardrails via Future-Aware Reasoning and Safety-Aligned Optimization
-
AdaSR: Adaptive Streaming Reasoning with Hierarchical Relative Policy Optimization
-
Navigating Gigapixel Pathology Images with Large Multimodal Models
-
EyeTheia: A Lightweight and Accessible Eye-Tracking Toolbox
-
VietFashion: Benchmarking Sketch-Text Composed Image Retrieval for Cultural Outfits
-
HairPort: In-context 3D-aware Hair Import and Transfer for Images
-
AfroScope: A Framework for Studying the Linguistic Landscape of Africa
-
M\"OVE: A Holistic LLM Benchmark for the German Public Sector
-
RogueAI: A Reverse Turing Test for Detecting Licensed AI Deception in Dialogue
-
From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent
-
MARD: Mirror-Augmented Reasoning Distillation for Mechanism-Level Drug-Drug Interaction Prediction
-
TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models
-
CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges
-
The KG-ER Conceptual Schema Language
-
Reconstructing Template-Memorized Images from Natural Prompts
-
HarnessBridge: Learnable Bidirectional Controller for LLM Agent Harness
-
Structured Testbench Generation for LLM-Driven HDL Design and Verification-Oriented Data Curation
-
AAbAAC: An Annotated Corpus for Autoimmunity Information Extraction
-
WISE: A Long-Horizon Agent in Minecraft with Why-Which Reasoning
-
Zero-source LLM Hallucination Detection with Human-like Criteria Probing
-
PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization
-
EPIG: Emotion-Based Prompting for Personalised Image Generation
-
An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration
-
CausalMoE: A Billion-Scale Multimodal Foundation Model for Granger Causal Discovery with Pattern-Routed Heterogeneous Experts
-
Brick: Spatial Capability Routing for the Mixture-of-Models (MoM) Paradigm
-
A Quantitative Experimental Repeated Measures Study of Training Dynamics in a Small Llama Style Language Model Under a Compute-Aware Token Budget
-
AI SciBrief as a Gateway to Research: A Framework for Onboarding Students into New Research Areas
-
PI-Hunter: Automated Red-Teaming for Exposing and Localizing Prompt Injections
-
Localizing Anchoring Pathways in Language Models
-
Select and Improve: Understanding the Mechanics of Post-Training for Reasoning
-
WildIFEval: Instruction Following in the Wild
-
Data Fusion for High-Resolution Estimation
-
Trust and Reliance on AI in Education: AI Literacy and Need for Cognition as Moderators
-
It Takes One to Bias Them All: Breaking Bad with One-Shot GRPO
-
UniPET: a universal network for high-quality PET image denoising across varied dose reduction factors
-
Swivuriso: The South African Next Voices Multilingual Speech Dataset
-
TENP: Trapezoidal Expert Neuron Pruning For Mixture-of-Experts
-
MemVenom: Triggered Poisoning of Multimodal Memories in Web Agents
-
Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
-
RAT: Reference-Augmented Training for ASV Anti-Spoofing
-
BadRobot: Jailbreaking Embodied LLM Agents in the Physical World
-
How can we assess human-agent interactions? Case studies in software agent design
-
GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support
-
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
-
GitInject: Real-World Prompt Injection Attacks in AI-Powered CI/CD Pipelines
-
Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders
-
Catching One in Five: LLM-as-Judge Blind Spots in Production Multi-Turn Transaction Agents
-
Expert-Level Crisis Detection in Mental Health Conversations
-
Learning Evidence Highlighting for Frozen LLMs
-
Using the YOLOv12 Model for Verifying the Correct Color Sequence of Wires in Network Cables (Patch Cords) on the Production Line
-
CoTAL: Human-in-the-Loop Prompt Engineering for Generalizable Formative Assessment Scoring and Feedback
-
Who Wrote the Book? Detecting and Attributing LLM Ghostwriters
-
Regimes: An Auditable, Held-Out-Gated Improvement Loop Demonstrated on LongMemEval with ActiveGraph
-
Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents
-
The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent Misalignment
-
When the Chain of Thought Knows Better: Failure Modes in Multi-Turn Reasoning Models
-
Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution
-
Deployment-Time Memorization in Foundation-Model Agents
-
Evaluating Research-Level Math Proofs via Strict Step-Level Verification
-
Do VLMs Reason Like Engineers? A Benchmark and a Stage-wise Evaluation
-
CIAware-Bench: Benchmarking Control Intervention Awareness Across Frontier LLMs
-
An LLM-Native Psychometric Instrument Does Not Predict LLM Behavior: Evidence Across 25 Models
-
CleanPatrick: A Benchmark for Image Data Cleaning
-
Fusing Satellite Imagery and Planimetric Maps for Cross-View Localization
-
++nnU-Net: Scaling nnU-Net with Prefix-Based Data Augmentation
-
FOGO: Forgetting-aware Orthogonalization Optimizer
-
Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model
-
SAW: Stage-Aware Dynamic Weighting for Multi-Objective Reinforcement Learning in Large Language Models
-
MemoVAD: Resource-Efficient Video Anomaly Detection via Dynamic Semantic Memory in Edge Computing Scenarios
-
MatMind: A Structure-Activity Knowledge-Driven Generative Foundation Model for Materials Science
-
GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation
-
SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks
-
Momentum for Reasoning: Dense Intrinsic Signals in Policy Optimization
-
Self-Evolving Scientific Agent Discovers Generalizable Physically-Reasoned Fluid Control
-
Contract2Tool: Learning Preconditions and Effects for Reliable Tool-Augmented LLM Agents
-
The CIFAR Synthetic Evidence Corpus for Detecting AI-Generated Evidence
-
Beyond Goodhart's Law: A Dynamic Benchmark for Evaluating Compliance in Multi-Agent Systems
-
Overcoming the Regulatory Bottleneck via Agent-to-Agent Protocols: A Nuclear Case Study
-
Towards Personalized Bangla Book Recommendation: A Large-Scale Heterogeneous Book Graph Dataset
-
ArtiFact: A Large-Scale Multi-Modal Cultural Heritage Dataset
-
Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design
-
Distilling Safe LLM Systems via Soft Prompts for On Device Settings
-
Geometry-Aware Uncertainty Quantification via Conformal Prediction on Manifolds
-
Sycophancy as a Multilingual Alignment Failure: How Safety Degrades Across Languages, Topics, and Models
-
Vision Language Model Helps Private Information De-Identification in Vision Data
-
Data Agents Under Attack: Vulnerabilities in LLM-Driven Analytical Systems
-
EditSR: Enhancing Neural Symbolic Regression via Edit-based Rectification
-
MIRAGE: Metadata-Integrated Repository Analysis and Guided Enhancement for MSR Datasets
-
Distilling LLM Reasoning into an Interpretable Policy Tree for Human-AI Collaboration
-
Internalizing Geometric Law: Learning from Solver Residuals for Precision-Critical Generation
-
Collaborative Human-Agent Protocol (CHAP)
-
DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home
-
SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios
-
ChinaHeritaQA: A Culturally-Grounded Visual Question Answering Dataset for World Heritage Sites in China
-
C$^3$ache: Accelerating World Action Models with Cross Inference Chunk Cache
-
MOLOT System Card: Malicious Operational Logic Observation Transformer
-
AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation
-
IR-SIM: A Lightweight Skill-Native Simulator for Navigation, Learning, and Benchmarking
-
Automating the Expert Eye: A System-Agnostic Deep Learning Framework for Rare Event Discovery in Imbalanced Force Spectroscopy
-
MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation
-
Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction
-
Brain2Text Decoding Model Reveals the Neural Mechanisms of Visual Semantic Processing
-
When Benign Inputs Lead to Severe Harms: Eliciting Unsafe Unintended Behaviors of Computer-Use Agents
-
Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality
-
Decoding Naturalistic Emotion Dynamics from the Brain: An LLM-Enhanced Regression Framework
-
De novo molecular generation with optical property preconditioning at the token level
-
OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework
-
SkillHone: A Harness for Continual Agent Skill Evolution Through Persistent Decision History
-
Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution
-
Sample-Efficient LLM-Based Detection of Malicious Web Server Logs with Forensically Explainable Reasoning
-
SafeRun: Enabling Determinism in LLM Planning for Running
-
Safe-RULE: Safe Reinforcement UnLEarning
-
TQA-Bench: Evaluating LLMs for Multi-Table Question Answering
-
FieldWorkArena: Agentic AI Benchmark for Real Field Work Tasks
-
Playing Devil's Advocate: Off-the-Shelf Persona Vectors Rival Targeted Steering for Sycophancy
-
LAGO: A Local-Global Optimization Framework Combining Trust Region Methods and Bayesian Optimization
-
ADAGE: Active Defenses Against GNN Extraction
-
Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns
-
Deployed trusted-node quantum key distribution over 300 km with a multi-core fiber access link
-
Self-evolving LLM agents with in-distribution Optimization
-
Learning Explicit Behavioral Models with Adaptive Questions and World-Model Probes
-
OpenSkill: Open-World Self-Evolution for LLM Agents
-
DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling
-
Whisper Hallucination Detection and Mitigation via Hidden Representation Steering and Sparse AutoEncoders
-
Should You Use Your Large Language Model to Explore or Exploit?
-
Training for Technology: Adoption and Productive Use of Generative AI in Legal Analysis
-
OGA-AID: Clinician-in-the-loop AI Report Drafting Assistant for Multimodal Observational Gait Analysis in Post-Stroke Rehabilitation
-
Korean Culture into LLM Alignment: Toward Cultural Coherence
-
Quantifying Media Representation Dynamics Across 25 Years of News Reporting on Policing-related Deaths
-
Explicit Evidence Grounding via Structured Inline Citation Generation
-
Explain Like I'm 5 or Whatever I Choose: Evaluating the Interactive Potential of Language Model Responses
-
Phun-Bench: Evaluating LLMs on Phonological Understanding in Chinese
-
When CLIP Sees More, It Fights Back Harder: Multi-View Guided Adaptive Counterattacks for Test-Time Adversarial Robustness
-
LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G
-
Hearing the Unspoken: Language Model Priors for Acoustic Adversarial Attacks
-
Mind the Gap: Bridging Behavioral Silos with LLMs in Multi-Vertical Recommendations
-
It's a TRAP! Task-Redirecting Agent Persuasion Benchmark for Web Agents
-
Breaking the Ice: Analyzing Cold Start Latency in vLLM
-
Depth over Fidelity in Fixed-Budget Noisy Evolution Strategies
-
EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection Attacks
-
KIT's Submission to Cross-Lingual Voice Cloning in IWSLT 2026
-
Trio: Learning Time-Series Forecasting with Temporal-Spatial-Sample Attention and Structural Causal Priors
-
Dash2Sim: Closed-Loop Driving Simulation from in-the-wild Dashcam Videos
-
Re-Centering Humans in LLM Personalization
-
From Pixels to Newtons: Predicting In Vivo Joint Contact Forces from Monocular Video
-
Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation
-
WorldBench: A Challenging and Visually Diverse Multimodal Reasoning Benchmark
-
RePo: Language Models with Context Re-Positioning
-
Real-Time AttentionBender: Granular Interactive Network Bending of Video Diffusion Transformers
-
PandaAI: A Practical Agent CQ2 for Neuro-symbolic Data Analysis And Integrated Decision-Making in Quantitative Finance
-
PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams
-
Formalizing Mathematics at Scale
-
Harnessing AtomisticSkills for Agentic Atomistic Research
-
Why We Need World Models for AGI: Where LLMs Fail and How World Models May Outperform
-
AnE: Pushing the Reasoning Frontier of Multimodal LLMs via Anchor Evolution
-
Multi-Persona Debate System for Automated Scientific Hypothesis Generation
-
SimuWoB: Simulating Real-World Mobile Apps for Fast and Faithful GUI Agent Benchmarking
-
SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research