Trust in Generative AI for Health Information Consumption and the Effect of Learned Dependency: An Experimental Study

Policy Split: Incentivizing Dual-Mode Exploration in LLM Reinforcement with Dual-Mode Entropy Regularization

METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models

Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books

METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues

Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning

Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations

Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning

Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method

CocoaBench: Evaluating Unified Digital Agents in the Wild

MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis

Efficient Training for Cross-lingual Speech Language Models

Shared Emotion Geometry Across Small Language Models: A Cross-Architecture Study of Representation, Behavior, and Methodological Confounds

A Systematic Analysis of the Impact of Persona Steering on LLM Capabilities

Uncertainty-Aware Web-Conditioned Scientific Fact-Checking

When Valid Signals Fail: Regime Boundaries Between LLM Features and RL Trading Policies

When Verification Fails: How Compositionally Infeasible Claims Escape Rejection

Mem$^2$Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation

AOP-Smart: A RAG-Enhanced Large Language Model Framework for Adverse Outcome Pathway Analysis

Advancing Polish Language Modeling through Tokenizer Optimization in the Bielik v3 7B and 11B Series

TInR: Exploring Tool-Internalized Reasoning in Large Language Models

Do BERT Embeddings Encode Narrative Dimensions? A Token-Level Probing Analysis of Time, Space, Causality, and Character in Fiction

Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Models

Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation

Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models

Learning and Enforcing Context-Sensitive Control for LLMs

Efficient Process Reward Modeling via Contrastive Mutual Information

Computational Lesions in Multilingual Language Models Separate Shared and Language-specific Brain Alignment

Bridging Linguistic Gaps: Cross-Lingual Mapping in Pre-Training and Dataset for Enhanced Multilingual LLM Performance

Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models

LLMs Should Incorporate Explicit Mechanisms for Human Empathy

ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization

From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal Consultation

CodaRAG: Connecting the Dots with Associativity Inspired by Complementary Learning

Think in Sentences: Explicit Sentence Boundaries Enhance Language Model's Capabilities

CircuitSynth: Reliable Synthetic Data Generation

ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models

Computational Implementation of a Model of Category-Theoretic Metaphor Comprehension

CoSToM:Causal-oriented Steering for Intrinsic Theory-of-Mind Alignment in Large Language Models

Should We be Pedantic About Reasoning Errors in Machine Translation?

GIANTS: Generative Insight Anticipation from Scientific Literature

SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning

Many-Tier Instruction Hierarchy in LLM Agents

Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories

PhysInOne: Visual Physics Learning and Reasoning in One Suite

Neural Distribution Prior for LiDAR Out-of-Distribution Detection

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition

PDE-regularized Dynamics-informed Diffusion with Uncertainty-aware Filtering for Long-Horizon Dynamics

Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection

Regime-Conditional Retrieval: Theory and a Transferable Router for Two-Hop QA

Identification and Anonymization of Named Entities in Unstructured Information Sources for Use in Social Engineering Detection

Hypergraph Neural Networks Accelerate MUS Enumeration

ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering

Neighbourhood Transformer: Switchable Attention for Monophily-Aware Graph Learning

Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems

WOMBET: World Model-Based Experience Transfer for Robust and Sample-efficient Reinforcement Learning

Adaptive Dual Residual U-Net with Attention Gate and Multiscale Spatial Attention Mechanisms (ADRUwAMS)

Revisiting the Capacity Gap in Chain-of-Thought Distillation from a Practical Perspective

A Mathematical Framework for Temporal Modeling and Counterfactual Policy Simulation of Student Dropout

Temporal Dropout Risk in Learning Analytics: A Harmonized Survival Benchmark Across Dynamic and Early-Window Representations

MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification

Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs

SenBen: Sensitive Scene Graphs for Explainable Content Moderation

eBandit: Kernel-Driven Reinforcement Learning for Adaptive Video Streaming

Accelerating Transformer-Based Monocular SLAM via Geometric Utility Scoring

Deep Learning-Based Tracking and Lineage Reconstruction of Ligament Breakup

Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition

3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding

On Semiotic-Grounded Interpretive Evaluation of Generative Art

Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation

QARIMA: A Quantum Approach To Classical Time Series Analysis

StructRL: Recovering Dynamic Programming Structure from Learning Dynamics in Distributional Reinforcement Learning

From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity

Detection of Hate and Threat in Digital Forensics: A Case-Driven Multimodal Approach

Semantic Intent Fragmentation: A Single-Shot Compositional Attack on Multi-Agent AI Pipelines

Joint Interference Detection and Identification via Adversarial Multi-task Learning

Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception

From Dispersion to Attraction: Spectral Dynamics of Hallucination Across Whisper Model Scales

AlphaLab: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs

Act or Escalate? Evaluating Escalation Behavior in Automation with Language Models

Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers

Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation

On the Spectral Geometry of Cross-Modal Representations: A Functional Map Diagnostic for Multimodal Alignment

Structured Exploration and Exploitation of Label Functions for Automated Data Annotation

MolPaQ: Modular Quantum-Classical Patch Learning for Interpretable Molecular Generation

QuanBench+: A Unified Multi-Framework Benchmark for LLM-Based Quantum Code Generation

Generating High Quality Synthetic Data for Dutch Medical Conversations

Re-Mask and Redirect: Exploiting Denoising Irreversibility in Diffusion Language Models

Reinforcement-aware Knowledge Distillation for LLM Reasoning

SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework

A Horizon-Aware Decision-Support Framework for Demand Forecasting Model Selection in Resilient Production Planning

H-AdminSim: A Multi-Agent Simulator for Realistic Hospital Administrative Workflows with FHIR Integration

AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts

Reasoning Models Will Sometimes Lie About Their Reasoning

Multi-agent Adaptive Mechanism Design

Relational Visual Similarity

From Navigation to Refinement: Revealing the Two-Stage Nature of Flow-based Diffusion Models through Oracle Velocity

On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs

STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting

HCAST: Human-Calibrated Autonomy Software Tasks

OmniPrism: Learning Disentangled Visual Concept for Image Generation

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