Entities · Companies
Hugging Face
549 articles tagged with this entity.
-
Think Big, Search Small: Where Capacity Matters in Hierarchical Search Agents?
-
Named-Entity Recognition in the Crime Domain (CrimeNER): Case Study and Dataset
-
RWGBench: Evaluating Scholarly Positioning in Related Work Generation
-
Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows
-
When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems
-
From Beats to Breaches:How Offensive AI Infers Sensitive User Information from Playlists
-
Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors
-
LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation Steering
-
From Noisy Traces to Root Causes: Structural Trajectory Analysis and Causal Extraction for Agent Optimization
-
Monitoring Transformative Technological Convergence Through LLM-Extracted Semantic Entity Triple Graphs
-
AnyPoC: Universal Proof-of-Concept Test Generation for Scalable LLM-Based Bug Detection
-
Evaluating SageMath-Augmented LLM Agents for Computational and Experimental Mathematics
-
Reasoning Consistency Scanning: A Framework for Auditing Chain-of-Thought Validity in AI Safety Evaluations
-
Vision Foundation Models in Radiology: A Scoping Review of Data, Methodology, Evaluation and Clinical Translation
-
Agent Step Value: Probing the Observer Effect in Black-Box Traces
-
VisTCP: A Visualization Framework to Construct Knowledge-Graph-Based Representation for Traditional Chinese Painting
-
Depression Symptoms and Relational Patterns in 187k ChatGPT Histories
-
SecureCode: A Production-Grade Multi-Turn Dataset for Training Security-Aware Code Generation Models
-
BabyVision: Visual Reasoning Beyond Language
-
MoWorld: A Flash World Model
-
Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification
-
Narrative-Centered Emotional Reflection: An Early Prototype for AI-Supported Emotional Self-Reflection
-
Integrating knowledge graphs and multilingual scholarly corpora for domain-adaptive LLMs in SSH
-
Channel-wise Retrieval for Multivariate Time Series Forecasting
-
VendorBench-100: A Unified Cross-Paradigm Benchmark for Deepfake Image Detection
-
From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models
-
OrchardBench: A Physically-Grounded, GPU-Parallel Apple-Orchard Simulation Benchmark for Agricultural Robotics
-
Industry Classification of GitHub Repositories Using the North American Industry Classification System (NAICS)
-
How Personas Can Influence Agents to Play Split or Steal
-
BaFCo: A Document Understanding Benchmark for Complex Bangla Form Comprehension
-
Is Your NPU Ready for LLMs? Dissecting the Hidden Efficiency Bottlenecks in Mobile LLM Inference
-
Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding
-
CoPiT: Cognitive Pivot Translation for Digraphic Low-Resource Mongolian in the Traditional Script
-
InfluMatch: Frontier-Quality KOL Search at 4B-Model Cost
-
Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability
-
PolyJarvis: An LLM-Orchestrated Agent for Automated All-Atom Molecular Dynamics of Amorphous Homopolymers
-
Polyglot Teachers: Evaluating Language Models for Multilingual Synthetic Data Generation
-
ROK-FORTRESS: Measuring the Effect of Geopolitical Transcreation for National Security and Public Safety
-
Native-speed vLLM transformers modeling backend
-
From Hugging Face to Amazon SageMaker Studio in one click
-
Hugging Face Models on Foundry Managed Compute
-
Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility
-
RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities
-
AGL-1: The Enterprise AI Governance Layer as a Control Plane for Trusted Enterprise Intelligence
-
Revealing Hidden Model Behaviors with Task-Specific Self-Reports
-
Predicting the Emergence of Induction Heads in Language Model Pretraining
-
Quantize the Target, Quantize the Drafter: Efficient Inference with Qwen3.5-4B
-
RL Forgets! Towards Continual Policy Optimization
-
Knowledge-Centric Information Systems
-
When Does Small Data Work? Accuracy and Efficiency Trade-offs Between Tabular Foundation Models and Conventional Methods for Crowd-State Classification at Hajj and Umrah
-
Probing Geospatial SSL Representations with Environmental Signals
-
Piercing Gilbreath's Conjecture: From Deep Number Theory Insights to Fintech and Cybersecurity
-
When Claws Remember but Do Not Tell: Stealthy Memory Injection in Persistent Personal Agents
-
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing
-
SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses
-
Track the Noise, Move the World:3D-Grounded Motion-Consistent Noise for Controllable Video Generation
-
Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny
-
Metronome: Bound the Cache, Keep the Beat for Real-Time Interaction Model Serving
-
Vision Token Manipulation Attacks on Cloud-Edge Inference of Large Vision-Language Models
-
OpenGlass: A Sensing-Computing Split Architecture for Local MLLM-Driven Real-Time Visual Assistance
-
Builder, Defender, Breaker: The Case Against Removing the Human from the AI-Driven Security Lifecycle
-
Semantic Segmentation-Driven Image-Level Diagnosis of Liver Cancers in Hematoxylin and Eosin Histopathology Images
-
Scalable Maximal Frequent Episode Mining with Desbordante
-
Detecting Hallucinations in Retrieval-Augmented Generation through Grounding-Aware Sensitivity by Perturbation (GASP)
-
A Bayesian Approach for the Network Reconstruction of Interdependent Critical Infrastructure Systems from Cascading Failures
-
A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference
-
A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS)
-
Federated Learning for Object Detection: Enabling Collaborative Drone Learning Without Centralizing Data
-
A Deep Learning-based surrogate model for Severe Accidents in nuclear reactors using ASTEC
-
The Map Behind the Flow: Finite-Step Gradient Descent as a Dynamical System
-
FAST: A Holistic Framework for Optimizing Memory-I/O, Computation, and Sampling in Temporal GNN Training
-
Anchored Self-Play for Code Repair
-
Last-Meter Precision Navigation for UAVs: A Diffusion-Refined Aerial Visual Servoing Approach
-
An Exploration of Agentic Information Fusion for Test Maintenance Prediction
-
When Simpler Is Better: Evaluating Translation Pipelines for Medieval Latin Manuscripts
-
Do GUI Agents Believe Their Eyes? Diagnosing State-Belief Reliance on Pixels versus Structure
-
Seduced by the Narrative: Assessing Rule Adherence in Semi-Open Textual Sandboxes
-
Attention Limited Reward Learning
-
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models
-
Language models guide symbolic equation discovery by controlling search
-
Server-side Anti-cheat in FPS games for Aimbot detection using Deep learning and Machine learning
-
What is Left for Us? Second Scholarship Against the Degradation of Research by AI
-
Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction
-
HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding
-
Benchmarking API Drift in LLM-Generated Quantum Code Across Successive SDK Versions
-
DualView: Preventing Indirect Prompt Injection in Personal AI Agents
-
Weighted Conformal Prediction for Lab-to-Track Thermal Transfer in EV Motorsport Powertrains
-
Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report
-
LLMoxie: Exploring Agentic AI for Scientific Software Development
-
Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot
-
Adaptive Batch Sizes Using Non-Euclidean Gradient Noise Scales for Stochastic Sign and Spectral Descent
-
Transformer Geometry Observatory TGO-II: Representational Similarity Observatory
-
Meta-Benchmarks for Financial-Services LLM Evaluation
-
Distributed Attacks in Persistent-State AI Control
-
Conditional Co-Ablation: Recovering Self-Repair Backups in Transformer Circuits
-
Efficient PEFT Methods with Adaptive Checkpointing for Vision Models and VLMs on Resource Constrained Consumer-GPUs
-
Purified OPSD: On-Policy Self-Distillation Without Losing How to Think
-
AI Assistance for Human Review of Default Judgments
-
Beyond Detection: Redesigning Assessment and Governande of Generative AI at the Universidad Polit\'ecnica de Madrid (UPM)
-
MultAttnAttrib: Training-Free Multimodal Attribution in Long Document Question Answering
-
Has This Checkpoint Been Abliterated? A Two-Signal Audit and Its Failure Map
-
SkillFuzz: Fuzzing Skill Composition for Implicit Intents Discovery in Open Skill Marketplaces
-
BRIDGE: Predicting Human Task Completion Time From Model Performance
-
RusFinChain: A Russian Benchmark for Verifiable Chain-of-Thought Reasoning in Finance with Fuzzy-Aligned Evaluation
-
Beyond Skepticism: Evaluating LLMs Pedagogical Intent Reasoning with the Adaptive Pedagogical Vigilance Framework
-
Multi-THuMBS: Multi-person Tracking of 3D Human Meshes Beyond Video Shots
-
The Eticas AI Risk Taxonomy: Open Infrastructure for Operationalizing AI Audits
-
Polite on the Surface, Broken in Practice: A Curated Dataset for Fixing Generation and Register Failures in Low-Resource Bangla Text Generation
-
What Types of Human-AI Teams Exist?
-
Beyond Supervised Clarification: Input Rewriting with LLMs for Dialogue Discourse Parsing
-
AEGIS: A Multi-Task Joint-Embedding Predictive Architecture for Mammography
-
MSQA: A Natively Sourced Multilingual and Multicultural SimpleQA Benchmark
-
Understanding Why Language Models Hallucinate: Testing Reasoning Against Priors
-
When Context Compensates for Sparse Event History: AlphaEarth for Spatio-Temporal Point-Process Forecasting
-
Interpretable vs Learned Encoders for High-Cardinality Fraud Detection
-
Learning dynamical systems from noisy data with Weak-form Kernel Ridge Regression
-
Utilizing Earth Foundation Models to Enhance the Simulation Performance of Hydrological Models with AlphaEarth Embeddings
-
Readable but Not Controllable: Neuron-Level Evidence for Medical LLM Hallucination
-
Clinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI Benchmarking
-
Gavel: Agent Meets Checklist for Evaluating LLMs on Long-Context Legal Summarization
-
Quantifying the Affective Gap: A Zero-Shot Evaluation of LLMs on Fine-Grained Emotion Taxonomies
-
AGI Maze as a Benchmark Framework for World-Modeling Agents
-
From "Strings" to "Things" for Personal Knowledge Graphs: Evaluating LLM Triple Extraction for Recommendation Systems
-
AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation
-
Hate Speech Detection in Turkish and Arabic Languages: A Comprehensive Study
-
Explaining Tabular Foundation Model Differences Through Meta-Features
-
Comparing Large Language Models on Scrum Certification-Style Questions: Accuracy, Stability, and Error Patterns
-
A Text-Steerable Instrument for Sketching Procedural Soundscapes via Language Models
-
Play Like Champions: Counterfactual Feedback Generation in Latent Space
-
Prompting GPT-5 on Scrum Certification Questions: An Empirical Accuracy Study
-
Generating consensus and dissent on massive discussion platforms with a semantic-vector model
-
AutoTrainess: Teaching Language Models to Improve Language Models Autonomously
-
Revising RVL-CDIP: Quantifying Errors and Test-Train Overlap
-
JL1-CC&QA: Extending the JL1-CD Benchmark with Change Captioning and Question Answering
-
Toward AI-Resilient Assessment in Computer Science Courses in an AI-Native World
-
The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes
-
Think in English, Answer in Korean: Efficient Adaptation of Multilingual Tool-Using Agents
-
RaBitQCache: Rotated Binary Quantization for KVCache in Long Context LLM Inference
-
Bridging Local Observation and Global Simulation in Closed-Loop Traffic Modeling
-
Teaching LLMs String Matching, Backtracking, and Error Recovery to Deduce Bases and Truth Tables for the Combinatorially Exploding Bit Manipulation Puzzles
-
BLUEX v2: Benchmarking LLMs on Open-Ended Questions from Brazilian University Entrance Exams
-
From Search to Synthesis: Training LLMs as Zero-Shot Workflow Generators
-
Efficient Public Verification of Private ML via Regularization
-
Explicit Fuzzy Logic in the Feed-Forward Layer: Self-Forgetting Quantifiers Discover Legible Grammatical-Licensing Detectors
-
Mapping the Artificial Intelligence Divide in Africa: Infrastructure, Accessibility and Capacity
-
Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks
-
Probing Memorization of Tabular In-Context Learning
-
Can Physician Expertise Improve Machine Learning Identification of Delirium?
-
Towards Inclusive Mobility Modeling: Characterizing and Evaluating Elderly Trajectory Patterns in Urban Systems
-
Hugging Face and Cerebras bring Gemma 4 to real-time voice AI
-
Can AI Draw Science? A Benchmark for Evaluating Scientific Figure Generation by Text-to-Image and Multimodal Models
-
The Language You Ask In: Language-Conditioned Ideological Divergence in LLM Analysis of Contested Political Documents
-
An Agentic AI Pipeline for Appliance-Level Energy Anomaly Detection and LLM-Driven Recommendations
-
Unveiling Novelty Evolution in the field of Library and Information Science in China
-
Evidence-Informed LLM Beliefs for Continual Scientific Discovery
-
Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks
-
Labeling Training Data for Entity Matching Using Large Language Models
-
Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients
-
BackTranslation2.0 -- A Linguistically Motivated Metric to Assess Sign Language Production
-
EPIC-EuroParl-UdS: Information-Theoretic Perspectives on Translation and Interpreting
-
Entity Binding Failures in Tool-Augmented Agents
-
"AI Watermarking": Bridging Policy Discourse and Technical Capabilities
-
ASTAD: Asymmetric Style Transfer for Synthetic-to-Real Adaptation in Autonomous Driving
-
From Local Windows to Adaptive Candidates via Individualized Exploratory: Rethinking Attention for Image Super-Resolution
-
Hybrid Retriever Evolution for Multimodal Document Reasoning Agents
-
Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications
-
Building to the Test: Coding Agents Deliver What You Check, Not What You Requested
-
Unlocking the Visual Record of Materials Science: A Large-Scale Multimodal Dataset from Scientific Literature
-
Towards Human-Level Book-Writing Capability
-
EfficientUICoder: A Bidirectional Token Compression Framework for Efficient MLLM-Based UI Code Generation
-
From Regulatory Approvals to Patents: Cross-Domain Linking for Cardiovascular Device Traceability
-
Extrapolating from Regularised Solutions for Solving Ill-Conditioned Linear Systems in Machine Learning
-
DEEPMED Search: An Open-Source Agentic Platform for Medical Deep Research with Introspective Verification
-
Em-ergence of the em-dash: a population-level rise in em-dash frequency in medRxiv preprints at the dawn of the large-language-model era
-
meta-pipe: An LLM-agent pipeline for end-to-end automated systematic review and meta-analysis
-
ML-Powered LDAP Reconnaissance Detection using Weak Supervision
-
Can LLM-as-a-Judge Reliably Verify Rubrics in Agentic Scenarios?
-
Reproducing FACTER: Fairness via Conformal Thresholding and Prompt Repair
-
Harvesting AI Computation at the Edge via Generic Approximation
-
Symbolic Mechanistic Data Attribution: Tracing Training Influence to Learned Behavioral Policies
-
Categorize Early, Integrate Late: Divergent Processing Strategies in Automatic Speech Recognition
-
DialogPII: A multilingual dataset of synthetic dialog transcripts to detect personal information
-
Diversity is the Strength of the AI Crowd
-
Towards Automating Scientific Review with Google's Paper Assistant Tool
-
When Is an LLM Worth It for Hyperparameter Optimization? A Budget-Matched Study on Tabular Data Finds the Warm-Start Is a Default Configuration, Not the Model
-
Ko-WideSearch: A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web Agents
-
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation
-
On the Effect of Uncertainty on Layer-wise Inference Dynamics
-
Chronic Kidney Disease Prognosis Prediction Using Transformer
-
DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums
-
HumanMoveVQA: Can Video MLLMs reason about human movement in videos?
-
EMOSH: Expressive Motion and Shape Disentanglement for Human Animation
-
Contagion Networks: Evaluator Preference Propagation in Multi-Agent LLM Systems
-
When Does Personality Composition Matter for Multi-Agent LLM Teams?
-
ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation
-
CalBrief: A Pilot Diagnostic Benchmark for Evidence-Calibrated Scientific Briefing with Large Language Models
-
Agentic Publication Protocol: An Attempt to Modernize Scientific Publication
-
Deployment-Side Adaptiveness in Multi-Horizon Volatility Forecasting
-
ToxiREX: A Dataset on Toxic REasoning in ConteXt
-
Necessary but Not Sufficient: Temperature Control and Reproducibility in LLM-as-Judge Safety Evaluations
-
Batch-Invariant Spectral Intelligence for Robust and Explainable Insect Authentication
-
Paved with True Intents: Intent-Aware Training Improves LLM Safety Classification Across Training Regimes
-
How Good Can Linear Models Be for Time-Series Forecasting?
-
HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization
-
AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems
-
LISA: Likelihood Score Alignment for Visual-condition Controllable Generation
-
Autoformalization of Agent Instructions into Policy-as-Code
-
Assert, don't describe: Linguistic features that shift LLM reasoning about animal welfare
-
Low Resource Multimodal Translation of Nepali Spoken Words into Emotion-Conditioned Sign Language Avatars
-
Boundary-Aware Context Grounding for A Low-Channel EEG Agent
-
Linguistics and Human Brain: A Perspective of Computational Neuroscience
-
Vulnerability of Natural Language Classifiers to Evolutionary Generated Adversarial Text
-
AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce Pricing
-
Fortress and Gatekeeper: Theorizing Transitive Trust in Third-Party Cybersecurity Risk Governance
-
CyberChainBench: Can AI Agents Secure Smart Contracts Against Real-World On-Chain Vulnerabilities?
-
FoReco and FoRecoML: A Unified Toolbox for Forecast Reconciliation in R
-
From Celebrities to Anyone: Characterizing AI Nudification Content, Technology, and Community Dynamics on 4chan
-
OmniRobotHome: A Multi-Camera Home Platform for Real-Time Human-Robot Interaction
-
Use What You Know: Causal Foundation Models with Partial Graphs
-
Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Queries
-
Can Large Language Models Reliably Code Qualitative Humanitarian Data? A Benchmark Study Against Human Expert Adjudication
-
[AINews] OpenAI reports median internal Codex output tokens grew 56x in Research, 32x in Customer Support, 27x in Engineering, and 13x in Legal since November 2025.
-
Run a vLLM Server on HF Jobs in One Command
-
Benchmarking Vision-Language Models for Microscopic Plant Image Understanding
-
FUTO Swipe: Layout-Agnostic Neural Swipe Decoding
-
OracleAnalyser: Analysing Implicit Semantics of Oracle Bone Scripts through MLLMs with Post-training
-
LLM-Based Scientific Peer Review: Methods, Benchmarks, and Reliability Challenges
-
Fault of Our Stars: Behavioral Drivers of Rating-Sentiment Incongruence
-
Detect, Unlearn, Restore: Defending Text Summarization Models Against Data Poisoning
-
Measuring Research Difficulty of Academic Papers: A Case Study in Natural Language Processing
-
AI Fiction in the Wild
-
Pigeonholing: Bad prompts hurt models to collapse and make mistakes
-
Paying to Know: Micro-Transaction Markets for Verified Product Information in Agentic E-Commerce
-
BioMedArena: An Open-source Toolkit for Building and Evaluating Biomedical Deep Research Agents
-
Impatient Bandits: Optimizing for the Long-Term Without Delay
-
You Don't Need to Run Every Eval
-
Dimensionality Reduction of QAOA Parameter Space with Kernel PCA for Max-Cut
-
A P\={a}ninian Foundation for Indic Language Processing
-
CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output Compression
-
Generating adversarial inputs for a graph neural network model of AC power flow
-
Accuracy and Satisfaction in Multi-Turn LLM Dialogues for NFR Assessment
-
Age of LLM: A Strategic 1v1 Benchmark for Reasoning, Diplomacy and Reliability of Large Language Models under Fog of War
-
Exploring Academic Influence of Algorithms by Co-occurrence Network Based on Full-text of Academic Papers
-
AI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach
-
Introducing the FFASR Leaderboard: Benchmarking ASR in the Real World
-
Shipping huggingface_hub every week with AI, open tools, and a human in the loop
-
Experimenting with the proposed Cross-Origin Storage API in Transformers.js
-
The Register Gap: A Meaning Intelligence Framework for Nigerian Public Discourse
-
Secure Coding Drift in LLM-Assisted Post-Quantum Cryptography Development: A Gamified Fix
-
The Hidden Environmental Cost of Poor Coding Practices in TensorFlow and Keras Applications: A Study on Resource Leaks and Carbon Emissions
-
Self-Preference Is Weak or Absent in Verifiable Instruction-Following Revision: A Four-Model Test Under Genuine Authorship
-
Human-like autonomy emerges from self-play and a pinch of human data
-
Capturing Intransitive Dominance in Tennis Forecasting: A Graph Neural Network Approach
-
Pseudo-Feature Padding: A Lightweight Defense Against False Data Injection in Power Grids
-
Analyzing Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Systems
-
HGCN(O): A Self-Tuning GCN HyperModel Toolkit for Outcome Prediction in Event-Sequence Data
-
From 50K to 8.2 Million in 24 Hours: Vozinha's Algorithmic Consecration and the Multilingual Making of World Cup Visibility
-
REDACT: A Systematically Controlled Multilingual Benchmark for Personal Information Detection
-
SAFE-Cascade: Cost-Adaptive Vision-Language Routing for Chart Question Answering
-
PCFootprint: A Large-Scale Dataset and Benchmark for Vectorized Building Footprint Extraction from Aerial LiDAR Point Clouds
-
Creating Multilingual Mental Health Dialogue Datasets: Limits of Persona-Based Localization via Nationality and Language
-
Data Standards for Humanoid Robotics: The Missing Infrastructure for Physical AI
-
FFinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming
-
Bidirectional Tutoring for Developmental Motor Learning in Robots: Co-Developed Interaction Dynamics Support Stable Learning
-
AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning
-
Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software
-
Multi-View Decompilation for LLM-Based Malware Classification
-
Simulation of Language Evolution under Regulated Social Media Platforms: A Synergistic Approach of Large Language Models and Genetic Algorithms
-
Thermodynamic Signatures of Reasoning: Free-Energy and Spectral-Form-Factor Diagnostics for Hallucination Detection in Large Language Models
-
PASQA: Pitch-Accent-Focused Speech Quality Assessment Model Trained on Synthetic Speech with Accent Errors
-
Multi-Head Attention-Based Feature Extractor Integration with Soft Actor-Critic for Porosity Prediction and Process Parameter Optimization in Additive Manufacturing
-
Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts
-
Towards Scalable Customization and Deployment of Multi-Agent Systems for Enterprise Applications
-
HeatKV: Head-tuned KV-cache Compression for Visual Autoregressive Modeling
-
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
-
Generating Natural and Expressive Robot Gestures through Iterative Reinforcement Learning with Human Feedback using LLMs
-
ThinkDeception: A Progressive Reinforcement Learning Framework for Interpretable Multimodal Deception Detection
-
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
-
G-IdiomAlign: A Gloss-Pivoted Benchmark for Cross-Lingual Idiom Alignment
-
Language Models as Interfaces, Not Oracles: A Hybrid LLM-ML System for Pediatric Appendicitis
-
ScholarSum: Student-Teacher Abstractive Summarization via Knowledge Graph Reasoning and Reflective Refinement
-
IndicContextEval: A Benchmark for Evaluating Context Utilisation in Audio Large Language Models Across 8 Indic Languages
-
RECOM: A Validity Discrimination Tradeoff in Automatic Metrics for Open Ended Reddit Question Answering
-
Vines-DB: An RGB image dataset for multi-species ornamental vine segmentation
-
Continual Adaptation for Pacific Indigenous Speech Recognition
-
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance
-
Sensor Configuration Matters: A Systematic Evaluation of Multimodal SLAM on Quadruped Robots
-
Bidirectional Cross-Attention Fusion of High-Resolution RGB and Low-Resolution Hyperspectral Inputs for Multimodal Semantic Segmentation
-
scGTN: Deep Siamese Graph Transformer Network for Single-cell RNA Sequencing Clustering
-
Optimal scenario design for climate emulation
-
Riemannian MeanFlow for One-Step Generation on Manifolds
-
Is it agentic enough? Benchmarking open models on your own tooling
-
Beyond LoRA: Can you beat the most popular fine-tuning technique?
-
Can LLMs Be CEOs? Benchmarking Strategic Resource Reallocation with Multi-Role Agent Simulation
-
Surveying GenAI-based Automation in Printed Circuit Board Design and Test
-
QueryMarket: Cost-Aware Online Active Learning in Data Markets
-
Are you speaking my languages? On spoken language adherence in multimodal LLMs
-
ChLogic: Evaluating Robustness of Logical Reasoning in Chinese Expressions
-
Evaluating Open-Source LLMs for Multi-Label ATT&CK Technique Classification on CTI Reports
-
Evaluating Intersectional Fairness across Clinical Machine Learning Use Cases using Fairlogue and the All of Us Research Program
-
From Compression to Deployment: Real-Time and Energy-Efficient FastGRNN on Ultra-Constrained Microcontrollers
-
Public transit gains and spatially uneven travel demand changes after NYC congestion pricing
-
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
-
Flux-Guard: Facial Identity Protection using diffusion models
-
SkillJect: Effectively Automating Skill-Based Prompt Injection for Skill-Enabled Agents
-
ActWorld: From Explorable to Interactive World Model via Action-Aware Memory
-
Where Should Action Generation Begin? A Learnable Source Prior for Generative Robot Policies
-
A Benchmark for Omni-Modal Reasoning in Long Videos
-
Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation
-
The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance
-
Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars
-
Vision-language models for chest radiography do not always need the image
-
Beyond Native Success: Auditing Deployment-Interface Exposure of CLIP Backdoors
-
Agentic AI-based Framework for Mitigating Premature Diagnostic Handoff and Silent Hallucination in Healthcare Applications
-
From Democracies to Autocracies: How AI Systems Enable Authoritarianism by Design
-
Agentic Resource Discovery: Let agents search
-
Fusion is not one-size-fits-all: Cross-Modal Representation Alignment for Time-to-Event Modeling
-
Generative Molecular Design with Steerable and Granular Synthesizability Control
-
Unifying Post-hoc Explanations of Knowledge Graph Completions
-
CausalDrive: Real-time Causal World Models for Autonomous Driving
-
CogCanvas: A Benchmark for Evaluating Multi-Subject Reference-Based Image Generation
-
Domain-Guided Prompting of the Segment Anything Model for Seismic Interpretation: The Role of Attributes, Visualization, and Hybrid Prompts
-
VisualClaw: A Real-Time, Personalized Agent for the Physical World
-
Structure-aware Knowledge-guided Heterogeneous Mamba for Zygomaticomaxillary Suture Assessment
-
HairLRM: Strand-based Hair Modeling via Large Reconstruction Models
-
MyPCBench: A Benchmark for Personally Intelligent Computer-Use Agents
-
To forget is to preserve: Machine Unlearning for 3D medical image segmentation
-
TreeGRNG: Binary Tree Gaussian Random Number Generator for Efficient Probabilistic AI Hardware
-
A Mechanistic Understanding of Pronoun Fidelity in LLMs
-
ttda704 at SemEval-2026 Task 6: Structured Chain-of-Thought Prompting for Political Evasion Detection
-
Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification
-
NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models
-
IMPACTeen: Intentions, Manipulation, Persuasion, Annotations, and Consequences in Teen Communication Dataset
-
Post-Launch Capability Expansion of Vision-Language Models via Prompting for On-Orbit Spacecraft Inspection
-
Is Code Better Than Language for Algorithmic Reasoning
-
MAWARITH: A Dataset and Benchmark for Legal Inheritance Reasoning with LLMs
-
Escaping the Cognitive Well: Efficient Competition Math with Off-the-Shelf Models
-
DRA-GRPO: Your GRPO Needs to Know Diverse Reasoning Paths for Mathematical Reasoning
-
CHILLGuard: Towards Fine-Grained Chinese LLM Safety Guardrail with Scalable Data Construction and Model-aware Preference Alignment
-
Graphical-Probabilistic Modeling of Generative Flows in LLM-Native Software Systems
-
Tight Bounds for Logistic Regression with Large Stepsize Gradient Descent in Low Dimension
-
The Answer Lies Within: Self-Derived Rewards Enable Explainable Relation Extraction
-
RAMS: Resource-Adaptive and Detection-Conditioned Model Switching for Embedded Edge Perception
-
Discrimination-free Insurance Pricing with Privatized Sensitive Attributes
-
AmchiBias: Measuring Stereotypical Bias in Goan Identity Groups with a Minimal Pair Dataset in English and Konkani
-
Beyond Accuracy: Measuring Bias Acknowledgment in Chain-of-Thought Reasoning for Responsible AI Evaluation
-
Snyk VulnBench JS 1.0: Can LLMs Find the Same Bugs Twice?
-
SCAR: Semantic Continuity-Aware Retrieval for Efficient Context Expansion in RAG
-
Benchmarking LLM Agents on Meta-Analysis Articles from Nature Portfolio
-
Understanding Scam Trends and Rail Paths from Reddit Self-Disclosure Narratives
-
FraudSMSWalker: Benchmarking Agentic Large Language Models for SMS-to-Webpage Fraud Detection
-
RetailBench: Benchmarking long horizon reasoning and coherent decision making of LLM agents in realistic retail environments
-
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
-
AI Pluralism and the Worlds It Misses
-
GIST-CMTF: Goal-State Inference for Causal Minimal Tool Filtering in LLM Agents
-
Honeypot Protocol
-
Knowledge-Based Zero-Replay Debugging of Multi-Agent LLM Traces
-
Is Your Agent Playing Dead? Deployed LLM Agents Exhibit Constraint-Evasive Fabrication and Thanatosis
-
Limited Marginal Benefit of Reasoning-Heavy LLM Deployment in ESG Narrative Scoring: A 4-Model Consensus Study on Japanese Listed Firms
-
Automated jailbreak attack targeting multiple defense strategies
-
DYNA : Dynamic Episodic Memory Networks for Augmenting Large Language Models with Temporal Knowledge Graphs in Continuous Learning
-
When Do We Need LLMs? A Diagnostic for Language-Driven Bandits
-
SEVRA-BENCH: Social Engineering of Vulnerabilities in Review Agents
-
From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI
-
Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA
-
MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
-
Simulating Students' Java Programming Errors with Large Language Models
-
Same-Origin Policy for Agentic Browsers
-
A Multi-Agent AI System for Automated High School Transcript Processing: Collaborative Document Analysis at Scale
-
Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results
-
Gaze Heads: How VLMs Look at What They Describe
-
Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias
-
Listening with Attention: Entropy-Guided Explainability for Transformer-Based Audio Models
-
Which Models Perform Better in Inheritance Reasoning?
-
Does the Judge Prefer English? Evaluating Language-Switching Invariance in LLM-as-a-Judge
-
A Computational Audit of Demographic Association Encoding in ClinicalBERT Language Predictions
-
Muon$^p$: Muon with Fractional Spectral Powers
-
MA-ProofBench: A Two-Tiered Evaluation of LLMs for Theorem Proving in Mathematical Analysis
-
VeriGeo: Controllable Geometry Question Generation with Numerical and Analytical Verification
-
FreoStream:Enhancing Stream Guardrails via Future-Aware Reasoning and Safety-Aligned 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
-
ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models
-
TimeLens: On-Device Artifact Recognition with Retrieval-Augmented Question Answering for the Grand Egyptian Museum
-
M\"OVE: A Holistic LLM Benchmark for the German Public Sector
-
Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings
-
Reliability of Probabilistic Emulation of Physical Systems
-
Arbor: Tree Search as a Cognition Layer for Autonomous Agents
-
SciR: A Controllable Benchmark for Scientific Reasoning in LLMs
-
Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering
-
An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration
-
ReCal: Reward Calibration for RL-based LLM Routing
-
Polar: A Benchmark for Evaluating Political Bias in LLMs
-
SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents
-
A Quantitative Experimental Repeated Measures Study of Training Dynamics in a Small Llama Style Language Model Under a Compute-Aware Token Budget
-
LLMs Can Better Capture Human Judgments--With the Right Prompts
-
Understanding the Rejection of Fixes Generated by Agentic Pull Requests -- Insights from the AIDev Dataset
-
Profiling in PyTorch (Part 2): From nn.Linear to a Fused MLP
-
CodeAlchemy: Synthetic Code Rewriting at Scale
-
Trust and Reliance on AI in Education: AI Literacy and Need for Cognition as Moderators
-
TabClaw: An Interactive and Self-Evolving Agent for Spreadsheet Manipulation and Table Reasoning
-
UniPET: a universal network for high-quality PET image denoising across varied dose reduction factors
-
Democratising Camera Trap AI: An Open-Source Model for Detecting UK Mammals
-
Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models
-
Adoption of Generative Artificial Intelligence in the German Software Engineering Industry: An Empirical Study
-
GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support
-
MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction
-
BenSyc: Benchmarking Conversational Sycophancy and Human Alignment in LLMs for Bengali Contexts
-
Do LLMsMakeNeural Distinguishers Wise?
-
mlr3mbo: Bayesian Optimization in R
-
GitInject: Real-World Prompt Injection Attacks in AI-Powered CI/CD Pipelines
-
Linguistically Augmented Audio Speech Data (LinguAS)
-
Using the YOLOv12 Model for Verifying the Correct Color Sequence of Wires in Network Cables (Patch Cords) on the Production Line
-
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
-
Structure from Reasoning, Numbers from Search: On-Premise Open LLMs as Structural Priors for Coupled MIMO Controller Tuning
-
Detecting Knowledge Gaps from Conversational AI Interactions Using Curriculum Prerequisite Graphs
-
DB-3DME: From Dataset to Benchmark for Human-aligned Automatic 3D Mesh Evaluation
-
How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces
-
Multimedia Building Blocks
-
Adversarial Robustness of Activation Steering in Large Language Models
-
Systematic LLM Translation of Legacy Scientific Code to Differentiable Frameworks: Application to a Land Surface Model
-
Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence
-
Multimodal Large Language Models as Synthetic Participants in Video-Based Studies: An Evaluation
-
Momentum for Reasoning: Dense Intrinsic Signals in Policy Optimization
-
AgentTrust: A Self-Improving Trust Layer for AI-Agent Actions
-
Contract2Tool: Learning Preconditions and Effects for Reliable Tool-Augmented LLM Agents
-
ArtiFact: A Large-Scale Multi-Modal Cultural Heritage Dataset
-
Data Agents Under Attack: Vulnerabilities in LLM-Driven Analytical Systems
-
MIRAGE: Metadata-Integrated Repository Analysis and Guided Enhancement for MSR Datasets
-
Distilling LLM Reasoning into an Interpretable Policy Tree for Human-AI Collaboration
-
Claw-R1: A Step-Level Data Middleware System for Agentic Reinforcement Learning
-
Now You (Still) See Me: Detecting Evasive Steganographic Payloads in LLMs
-
BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching
-
Reflection in the Dark: Exposing and Escaping the Black Box in Reflective Prompt Optimization
-
DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home
-
Where Does the Answer Come From? Benchmarking View-Level Visual Evidence Identification in Multi-View MLLMs for Autonomous Driving
-
SwiftVR: Real-Time One-Step Generative Video Restoration
-
TIDE: Task-Isolated Diffusion for Unified Video Editing and Generation
-
SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios
-
How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI
-
GimmBO: Interactive Generative Image Model Merging via Bayesian Optimization
-
Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via Deep Learning Segmentation
-
Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation
-
Implementing Grassroots Logic Programs with Multiagent Transition Systems and AI (Full Version)
-
Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT
-
Routine laboratory trajectories encode the onset of organ-level complications in cancer
-
Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution
-
The Hidden Bias of Process Reward Models:PRISM for Rewarding the Right Reasoning
-
Breaking the Tokenizer Barrier: On-Policy Distillation across Model Families
-
Community-Specific Slang and Entity Detection via Semantic Shift in Fine-Tuned Language Models
-
Beyond English benchmarks: clinical llm evaluation in Brazilian Portuguese
-
RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations
-
Hiding in Plain Floats: Steganographic Carriers for Indirect Prompt and Content Injection
-
Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting
-
TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs
-
LargeMonitor: Monitoring Online Task-Free Continual Learning via Large Pretrained Models
-
Language-based Trial and Error Falls Behind in the Era of Experience
-
Migrating Your GitHub CI to Hugging Face Jobs
-
Building Pakistan Notice Helper: A Small AI Tool for a Very Local Safety Problem
-
Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models
-
Video-Based Prediction of In-Flight Particle Characteristics in Atmospheric Plasma Spraying
-
Learning Explicit Behavioral Models with Adaptive Questions and World-Model Probes
-
UrduMMLU: A Massive Multitask Benchmark for Urdu Language Understanding
-
TSAQA: Time Series Analysis Question And Answering Benchmark
-
Telling stories, making Hanzi: AI-assisted co-creation with elderly migrants in urban China
-
OGA-AID: Clinician-in-the-loop AI Report Drafting Assistant for Multimodal Observational Gait Analysis in Post-Stroke Rehabilitation
-
SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices
-
Korean Culture into LLM Alignment: Toward Cultural Coherence
-
Meaning in Order, Order in Meaning: Semantic R-precision for Keyphrase Evaluation
-
Hearing the Unspoken: Language Model Priors for Acoustic Adversarial Attacks
-
A Dynamic Self-Evolving Extraction System
-
How Language Models Fail: Token-Level Signatures of Committed and Persistent Reasoning Failures
-
Breaking the Ice: Analyzing Cold Start Latency in vLLM
-
HKJudge: A Legal Discourse-Annotated Corpus for Interpreting What Courts Find, How They Reason, and What They Rule
-
RAVEN: Retrieval-Augmented Vulnerability Exploration Network for Memory Corruption Analysis in User Code and Binary Programs
-
Trio: Learning Time-Series Forecasting with Temporal-Spatial-Sample Attention and Structural Causal Priors
-
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
-
Which Anatomy Matters Under Limited Labels? A Data-Efficient Anatomy-Aware Benchmark for Cardiac Pathology Prediction
-
PandaAI: A Practical Agent CQ2 for Neuro-symbolic Data Analysis And Integrated Decision-Making in Quantitative Finance
-
More Capable, Less Cooperative? When LLMs Fail At Zero-Cost Collaboration
-
Output Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety
-
Global Cross-Modal Geo-Localization: A Million-Scale Dataset and a Physical Consistency Learning Framework
-
When Good Enough Is Optimal: Multiplication-Only Matrix Inversion Approximation for Quantized Gated DeltaNet
-
Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions
-
Operation-Guided Progressive Human-to-AI Text Transformation Benchmark for Multi-Granularity AI-Text Detection
-
TabSODA: Tabular Diffusion based Imputation with Skip Pattern Detection and Ordinal Awareness
-
CHASE: Adversarial Red-Blue Teaming for Improving LLM Safety using Reinforcement Learning
-
Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding
-
Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025
-
From Graph Retrieval to Schema Realization: Counterfactual Validation for Text-to-SPARQL over Heterogeneous Knowledge Graphs
-
SN-WER: Script-Normalized WER for Multi-Script Indic ASR Evaluation
-
Self-Conditioned Positional HNSW for Overlap-Aware Retrieval in Chunked-Document RAG Systems: Method and Industrial Evidence-Quality Audit
-
Argument Collapse: LLMs Flatten Long-Form Public Debate
-
Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset
-
Token-Efficient Change Detection in LLM APIs
-
Inference-Free Multimodal Learned Sparse Retrieval for Production-Scale Visual Document Search
-
BioRefusalAudit: Auditing Biosecurity Refusal Depth Using General and Domain-Fine-Tuned Sparse Autoencoders
-
CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval
-
COMPOSE: Composing Future Theorems from Citations and Formal Structure
-
Entity-Collision: A Stratified Protocol for Attributing Retrieval Lift in Agent Memory
-
Multi-Level Barriers to Generative AI Adoption Across Disciplines and Professional Roles in Higher Education
-
EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation
-
REVEAL: Reference-Grounded Reasoning for Multimodal Manipulation Detection
-
Eliot: Interactively $\underline{E}$xploring Fast-Changing Scientific $\underline{Li}$terature Trends with $\underline{O}$nline Da$\underline{t}$a and Learning
-
Teaching and Evaluating LLMs to Reason About Polymer Design Related Tasks
-
PrionNER: A Named Entity Recognition Dataset for Prion Disease Biomedical Literature
-
AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
-
Position: Machine Learning for Heart Transplant Allocation Policy Optimization Should Account for Incentives
-
Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders
-
Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
-
Cross-Linguistic Transcription and Phonological Representation in the Hu\`it\'onggu\v{a}nx\`i Hu\'ay\'iy\`iy\v{u}
-
LLM-as-a-Reviewer: Benchmarking Their Ability, Divergence, and Prompt Injection Resistance as Paper Reviewers
-
Harnessing AtomisticSkills for Agentic Atomistic Research
-
GRAIL: AI translation for scientists application workflow on satellite data
-
Towards Inclusive Toxic Content Moderation: Addressing Vulnerabilities to Adversarial Attacks in Toxicity Classifiers Tackling LLM-generated Content
-
AI-Driven Controlled Environment Agriculture as Resilient Infrastructure for U.S. Fresh-Produce Supply Chains
-
Human-AI Collaboration in Science at Scale: A Global Large-scale Randomized Field Experiment
-
End-to-End Intracortical Speech Decoding from Neural Activity
-
Specification-Based Code-Text-Code Reengineering for LLM-Mediated Software Evolution
-
Poisoning the Watchtower: Prompt Injection Attacks Against LLM-Augmented Security Operations Through Adversarial Log Content
-
sciwrite-lint: Verification Infrastructure for the Age of Science Vibe-Writing
-
AI-Driven Alpha Decay: Algorithmic Homogenization, Reflexive Signal Erosion, and the Paradox of Intelligent Markets
-
Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
-
QUIVER: A Formal Framework for Quantifying Perturbation Propagation and Bifurcation in Compound AI Systems
-
Psychologically Potent, Computationally Invisible: LLMs Generate Social-Comparison-Eliciting Posts They Fail to Detect
-
Ceci n'est pas une explication: Evaluating Explanation Failures as Explainability Pitfalls in Language Learning Systems
-
A Fine-Tuned BERT Classifier for Personal-Letter Titles in Late-Ming and Early-Qing Collected Works
-
AI-Friendly LaTeX: Using LaTeX Code as a Knowledge Source for Retrieval-Augmented Generation
-
ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models
-
Philosophical Dispositions as Behavioral Constraints for AI-Assisted Code Review: An Empirical Study
-
SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research
-
Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation
-
Whose Good, Whose Place? The Moral Geography of Agentic AI for Social Good
-
Improved Vision-to-Chart Buoy Association with Learned World-to-Image Projection
-
ClimateChat-300K: A Multi-Modal Facebook Dataset for Understanding Diverse Perspectives in Climate Communication
-
Library Hallucinations in LLM-Generated Code: A Risk Analysis Grounded in Developer Queries
-
LLM-guided Semi-Supervised Approaches for Social Media Crisis Data Classification
-
NorBERTo: A ModernBERT Model Trained for Portuguese with 331 Billion Tokens Corpus