Optimization-based Safe Trajectory Planning for Autonomous Ground Vehicle in Multi-Floor Scenarios

Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment

Agentic Proving for Program Verification

MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection

OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents

One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents

How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework

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Solving the Aircraft Disassembly Scheduling Problem

Co-ReAct: Rubrics as Step-Level Collaborators for ReAct Agents

CP or DP? Why Not Both: A Case Study in the Partial Shop Scheduling Problem

Asking For An Old Friend: Diagnosing and Mitigating Temporal Failure Modes in LLM-based Statutory Question Answering

EDGE-OPD: Internalizing Privileged Context with Evidence Guided On-Policy Distillation

ARES: Automated Rubric Synthesis for Scalable LLM Reinforcement Learning

SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction

Naturalistic measure of social norms alignment

Articulatory strategy as a source of variation in acoustic vowel dynamics

When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems

EquiSumm : A Gender Bias-Aware Framework for Inclusive Tweet Summarization

Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals

From Correctness to Preference: A Framework for Personalized Agentic Reinforcement Learning

Cultural Adaptation in Large Language Models for Political Discourse

Emotion Recognition in Sign Language Conversation

ClimateChat-300K: A Multi-Modal Facebook Dataset for Understanding Diverse Perspectives in Climate Communication

AraHopeCorpus: Annotation Guidelines and Dataset for Hope Speech in Arabic Social Media Crisis Discourse

Human-in-the-Loop Multi-Agent Ventilator Decision Support with Contextual Bandit Preference Learning

Convergence Without Understanding: When Language Models Agree on Representations but Disagree on Reasoning

DART: Semantic Recoverability for Structured Tool Agents

Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems

Parallel Context Compaction for Long-Horizon LLM Agent Serving

When Is Next-Token Prediction Useful? Marginalization, Ergodicity, Mixture Identifiability, Local Sufficiency, RAG, Tools, and Programming

Design and Report Benchmarks for Knowledge Work

GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models

Foundation Protocol: A Coordination Layer for Agentic Society

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery

Hidden Human-Like Nature of Machine-Generated Texts: Theory and Detection Enhancement

Self-Improving In-Context Learning

Redrawing the AI Map: A Theory of Accountability Boundaries in Agentic Ecosystems

Positional Failures in Long-Context LLMs: A Blind Spot in Reasoning Benchmarks

Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving

Same Model, Different Weakness: How Language and Modality Reshape the Jailbreak Attack Surface in Frontier MLLMs

When Symptoms Are Not Enough: Evidence-Weighting Patterns in Large Language Model Psychiatric Screening

As X, Do Y: How Persona and Task Combine in Instruction-Tuned LLMs

CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection

Inconsistency-aware Multimodal Schrödinger Bridge for Deepfake Localization

Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems

A Fine-Tuned BERT Classifier for Personal-Letter Titles in Late-Ming and Early-Qing Collected Works

A Comparative Evaluation of Structural Topic Models and BERTopic for Short, Open-Ended Survey Responses

PathCal: State-Aware Reflection-Marker Calibration for Efficient Reasoning

The Efficiency Frontier: A Unified Framework for Cost-Performance Optimization in LLM Context Management

Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models

DFKI-MLT at SemEval-2026 TASK 7: Steering Multilingual Models Towards Cultural Knowledge

RoboSurg-VQA: A Multimodal Benchmark for Surgical Segmentation-Aware Visual Question Answering

What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA

Dithering Defense: Adversarial Robustness of Vision Foundation Models via Multi-Level Floyd-Steinberg Dithering

Millimeter-wave Imaging for Anthropometric Body Measurement

Model Collapse as Cultural Evolution

DreamerNLplus: Interpretable Modeling of Mental Health Dynamics from Social Media Timelines using Hybrid Rule-Based and RAG Methods

The TIME Machine: On The Power of Motion for Efficient Perception

HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation

Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs

Multilingual Steering by Design: Multilingual Sparse Autoencoders and Principled Layer Selection

Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography

Brain-LLM Alignment Tracks Training Data, Not Typology

The Deterministic Horizon: Impossibility Results as Design Specifications for Trustworthy AI Systems

Scene Reconstruction as Mapping Priors for 3D Detection

CoMoGen: COntrollable MOtion Dynamics and Interactions with Mask-Guided Video GENeration

A Proactive Multi-Agent Dialogue Framework for Assessing Social Language Disorder Traits in Autism

Memorization Dynamics of Fill-in-the-Middle Pretraining

A Reproducible Universal Dependencies-Style Pipeline for Katharevousa Greek Parliamentary Text

When AI Takes Sides on Questions of Faith: Persistent Asymmetries in AI-Mediated Faith Guidance

Can AI Guess What You Know? Performance Comparison of Large Language Models for Human Domain Knowledge Estimation From Communication Logs

Graph Alignment Topology as an Inductive Bias for Grounding Detection

GazeBehavior Annotation Toolkit (GBAT): AI-powered toolkit for automatic annotation of egocentric eye-tracking and video data of child-caregiver interaction

Improved Vision-to-Chart Buoy Association with Learned World-to-Image Projection

Learnability-Informed Fine-Tuning of Diffusion Language Models

RAS: Reflection-Augmented Scaling with In-Context Learning for Executable Cypher Query Generation

VideoOdyssey: A Benchmark for Ultra-Long-Context and Omni-Modal Video Understanding

EVE-Agent: Evidence-Verifiable Self-Evolving Agents

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations

Seeing without Looking: Do Vision-Language Benchmarks Really Test Vision?

Mediative Fuzzy Logic: From Type-1 Foundations to Type-2, Type-3 and Quantum Extensions

ImProver 2: Iteratively Self-Improving LMs for Neurosymbolic Proof Optimization

Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems

GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation

How Far Will They Go? Red-Teaming Online Influence with Large Language Models

SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research

RMA: an Agentic System for Research-Level Mathematical Problems

NeuroNL2LTL: A Neurosymbolic Framework for Natural Language Translation of Linear Temporal Logic

BOHM: Zero-Cost Hierarchical Attribution for Compound AI Systems

GAGPO: Generalized Advantage Grouped Policy Optimization

Knowledge Distillation for Low-Resource Open-source Text-to-SQL Model

Query-Adaptive Semantic Chunking for Retrieval-Augmented Generation: A Dynamic Strategy with Contextual Window Expansion

A Survey of Text and Speech Resources for Hausa and Fongbe: Availability, Quality, and Gaps for NLP Development

Evaluating Large Language Models in a Complex Hidden Role Game

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Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving

Transformer-Empowered Actor-Critic Reinforcement Learning for Sequence-Aware Service Function Chain Partitioning

VerteNet -- A Multi-Context Hybrid CNN Transformer for Accurate Vertebral Landmark Localization in Lateral Spine DXA Images

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