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Gotit.pub
210 articles tagged with this entity.
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Towards Understanding Steering Strength
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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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Non-contact, Real-time, Heart-rate Measurement using Image Processing with Commodity Cameras and AI Agents
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Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors
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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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DASH: Dynamic Audio-Driven Semantic Chunking for Efficient Omnimodal Token Compression
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Evaluating calibrated refusal and safe usefulness in dual-use biology settings
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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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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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Channel-wise Retrieval for Multivariate Time Series Forecasting
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Spider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows
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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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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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Knowledge-Centric Information Systems
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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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Metronome: Bound the Cache, Keep the Beat for Real-Time Interaction Model Serving
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Closing Gaps in Emissions Monitoring with Climate TRACE
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EM3M: An Electron Micrograph Dataset for Microstructural Segmentation and Generation
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TimeThink: Reasoning with Time for Video LLMs
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A Fair Benchmarking of Deep Relational Database Learning Models
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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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Human-Centric Reflective Architecture for Human-AI Collaborative Decision-Making
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Efficient Decentralized Multi-task Dataset Valuation via Model Merging
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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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AI Assistance for Human Review of Default Judgments
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BRIDGE: Predicting Human Task Completion Time From Model Performance
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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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Utilizing Earth Foundation Models to Enhance the Simulation Performance of Hydrological Models with AlphaEarth Embeddings
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Explainable AI for Cancer Drug Response Prediction: Beyond Univariate Feature Attributions
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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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Large language model-enabled automated data extraction for concrete materials informatics
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CoReLIN: Constraint-based Reasoning for Zero-shot Lifelong Interactive Navigation
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FLARE-AI: Flaw Reporting for AI
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The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes
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Measuring Judgment Quality in Natural-Language Explanations: Evidence from Forecasting Tournaments
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An Agentic AI Pipeline for Appliance-Level Energy Anomaly Detection and LLM-Driven Recommendations
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Neuromorphic Energy-Aware Learning for Adaptive Deep Brain Stimulation
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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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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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TopoAgent: An Agentic Framework for Automated Topology Learning in Medical Imaging
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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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To Tab or Not to Tab: Measuring Critical Engagement in AI Code Completion Tools Using Behavioral Signals and Attention Checks
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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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MARS: A neurosymbolic approach for interpretable drug discovery
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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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MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs
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KrishokChat: A Citation-Grounded Dataset and Benchmark for Bengali Agricultural Advisory
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SafePyramid: A Hierarchical Benchmark for In-context Policy Guardrailing
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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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Agentic Publication Protocol: An Attempt to Modernize Scientific Publication
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Beyond Logical Forms: LLM-Extracted Patterns for Fallacy Classification
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Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
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RoPEMover: Depth-Aware Object Relocation via Positional Embeddings
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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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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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Boundary-Aware Context Grounding for A Low-Channel EEG Agent
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Einstein World Models
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Context Recycling for Long-Horizon LLM Inference
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AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce Pricing
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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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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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MacroLens: A Multi-Task Benchmark for Contextual Financial Reasoning under Macroeconomic Scenarios
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Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
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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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AI translation of literary texts is "fine", but readers still prefer human translations
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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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CN-NewsTTS Bench: a target-level automatic benchmark for raw-input Chinese news TTS pronunciation
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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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A P\={a}ninian Foundation for Indic Language Processing
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Debate2Create: Robot Co-design via Multi-Agent LLM Debate
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MedBench v5: A Dynamic, Process-Oriented, and Hallucination-Aware Benchmark for Clinical Multimodal Models
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Exploring Academic Influence of Algorithms by Co-occurrence Network Based on Full-text of Academic Papers
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Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?
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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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HGCN(O): A Self-Tuning GCN HyperModel Toolkit for Outcome Prediction in Event-Sequence Data
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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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SAFE-Cascade: Cost-Adaptive Vision-Language Routing for Chart Question Answering
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Emergent Alignment
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Data Standards for Humanoid Robotics: The Missing Infrastructure for Physical AI
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Bidirectional Tutoring for Developmental Motor Learning in Robots: Co-Developed Interaction Dynamics Support Stable Learning
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CareTransition-Audit: A Benchmark to Audit Discharge Summaries for Efficient Care Transitions
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Multi-View Decompilation for LLM-Based Malware Classification
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Self-Adaptive Scale Handling for Forecasting Time Series with Scale Heterogeneity
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Multi-Head Attention-Based Feature Extractor Integration with Soft Actor-Critic for Porosity Prediction and Process Parameter Optimization in Additive Manufacturing
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Where Did the Variability Go? From Vibe Coding to Product Lines by Regeneration
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HeatKV: Head-tuned KV-cache Compression for Visual Autoregressive Modeling
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CEO-Bench: Can Agents Play the Long Game?
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G-IdiomAlign: A Gloss-Pivoted Benchmark for Cross-Lingual Idiom Alignment
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LegalWorld: A Life-Cycle Interactive Environment for Legal Agents
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PreUnlearn: Auditing Collateral Knowledge Damage Before Large Language Model Unlearning
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Continual Adaptation for Pacific Indigenous Speech Recognition
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Taming I2V models for Image HOI Editing: A Cognitive Benchmark and Agentic Self-Correcting Framework
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Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation
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Are you speaking my languages? On spoken language adherence in multimodal LLMs
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R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model?
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Evaluating Intersectional Fairness across Clinical Machine Learning Use Cases using Fairlogue and the All of Us Research Program
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Seeing Is Not Screening: Multimodal Hidden Instruction Attacks on Agent Skill Scanners
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A Benchmark for Omni-Modal Reasoning in Long Videos
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Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars
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EComAgentBench: Benchmarking Shopping Agents on Long-Horizon Tasks with Distributed Hidden Intent
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When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents
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Conditional Local Importance by Quantile Expectations
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Landsat-Sentinel-2 Algal Bloom Mapping Using Vision Transformers: Model Description, Implementation, and Examples
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Unifying Post-hoc Explanations of Knowledge Graph Completions
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City landscape in sight: A crowdsourced framework for unlocking urban-scale window view perceptions from real estate imagery
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CausalDrive: Real-time Causal World Models for Autonomous Driving
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MASCOT-Android: A Curated Dataset and Automated Collection Pipeline for Android Malware Source Code Specimens
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Towards Pareto-Optimal Tool-Integrated Agents with Pareto Ranking Policy Optimization
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Oops, Wait: Discourse Tokens Matter in Reasoning Model
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Computational Safety for Generative AI: A Hypothesis Testing Perspective
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A Unified Definition of Hallucination: It's The World Model, Stupid!
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A Self Consistency Based Reranking for Narrative Question Answering
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Last But Not Least: Boundary Attention CalibratiON for Multimodal KV Cache Compression
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AI Supply Chain Galaxy: 3D Visual Analytics for License Compliance
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MultiMolecule: a modular ecosystem for biomolecular sequence-model workflows
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Discrimination-free Insurance Pricing with Privatized Sensitive Attributes
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FraudSMSWalker: Benchmarking Agentic Large Language Models for SMS-to-Webpage Fraud Detection
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Who Drifted: the System or the Judge? Anytime-Valid Attribution in LLM Evaluation Pipelines
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PAL-Bench: Evidence-Grounded Profile Reconstruction from Longitudinal Personal Albums
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AgentFairBench: Do LLM Agents Discriminate When They Act?
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Do Large Language Models Have Emotions?
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Gaming-Resistant Insurance Contracts for Autonomous AI Agents: Strategy-Proof Toll Mechanism Design
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When Errors Become Narratives: A Longitudinal Taxonomy of Silent Failures in a Production LLM Agent Runtime
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BigPower: Hierarchical Source-Level Module Power Estimation for CPUs with Large Language Models
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Did You Forget What I Asked? Prospective Memory Failures in Large Language Models
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MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
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RogueAI: A Reverse Turing Test for Detecting Licensed AI Deception in Dialogue
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TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models
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The KG-ER Conceptual Schema Language
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Structured Testbench Generation for LLM-Driven HDL Design and Verification-Oriented Data Curation
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Zero-source LLM Hallucination Detection with Human-like Criteria Probing
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An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration
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AI SciBrief as a Gateway to Research: A Framework for Onboarding Students into New Research Areas
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Localizing Anchoring Pathways in Language Models
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WildIFEval: Instruction Following in the Wild
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MemVenom: Triggered Poisoning of Multimodal Memories in Web Agents
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BadRobot: Jailbreaking Embodied LLM Agents in the Physical World
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GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support
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MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
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Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders
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Catching One in Five: LLM-as-Judge Blind Spots in Production Multi-Turn Transaction Agents
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Using the YOLOv12 Model for Verifying the Correct Color Sequence of Wires in Network Cables (Patch Cords) on the Production Line
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Who Wrote the Book? Detecting and Attributing LLM Ghostwriters
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Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents
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The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent Misalignment
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FOGO: Forgetting-aware Orthogonalization Optimizer
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SAW: Stage-Aware Dynamic Weighting for Multi-Objective Reinforcement Learning in Large Language Models
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Beyond Goodhart's Law: A Dynamic Benchmark for Evaluating Compliance in Multi-Agent Systems
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Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design
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Vision Language Model Helps Private Information De-Identification in Vision Data
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Data Agents Under Attack: Vulnerabilities in LLM-Driven Analytical Systems
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Collaborative Human-Agent Protocol (CHAP)
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ChinaHeritaQA: A Culturally-Grounded Visual Question Answering Dataset for World Heritage Sites in China
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AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation
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Brain2Text Decoding Model Reveals the Neural Mechanisms of Visual Semantic Processing
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Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality
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LAGO: A Local-Global Optimization Framework Combining Trust Region Methods and Bayesian Optimization
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ADAGE: Active Defenses Against GNN Extraction
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Learning Explicit Behavioral Models with Adaptive Questions and World-Model Probes
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Should You Use Your Large Language Model to Explore or Exploit?
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Breaking the Ice: Analyzing Cold Start Latency in vLLM
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Depth over Fidelity in Fixed-Budget Noisy Evolution Strategies
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EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection Attacks
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Dash2Sim: Closed-Loop Driving Simulation from in-the-wild Dashcam Videos
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WorldBench: A Challenging and Visually Diverse Multimodal Reasoning Benchmark
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RePo: Language Models with Context Re-Positioning
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Real-Time AttentionBender: Granular Interactive Network Bending of Video Diffusion Transformers
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PandaAI: A Practical Agent CQ2 for Neuro-symbolic Data Analysis And Integrated Decision-Making in Quantitative Finance
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Harnessing AtomisticSkills for Agentic Atomistic Research
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Why We Need World Models for AGI: Where LLMs Fail and How World Models May Outperform
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AnE: Pushing the Reasoning Frontier of Multimodal LLMs via Anchor Evolution
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Multi-Persona Debate System for Automated Scientific Hypothesis Generation
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SimuWoB: Simulating Real-World Mobile Apps for Fast and Faithful GUI Agent Benchmarking