Extremum Seeking Control Based Adaptive Compensation of Position Sensor Harmonics in PMSM Drives

Evaluating Large Language Models in a Complex Hidden Role Game

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

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

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

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

Learnability-Informed Fine-Tuning of Diffusion Language Models

Graph Alignment Topology as an Inductive Bias for Grounding Detection

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

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

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

Memorization Dynamics of Fill-in-the-Middle Pretraining

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

Brain-LLM Alignment Tracks Training Data, Not Typology

Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography

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

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

HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation

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

Model Collapse as Cultural Evolution

BOHM: Zero-Cost Hierarchical Attribution for Compound AI Systems

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

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

RMA: an Agentic System for Research-Level Mathematical Problems

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

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

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

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

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

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

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

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

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

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

EVE-Agent: Evidence-Verifiable Self-Evolving Agents

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

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

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

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

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

Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems

Self-Improving In-Context Learning

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

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

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

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

Foundation Protocol: A Coordination Layer for Agentic Society

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

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

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

Design and Report Benchmarks for Knowledge Work

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

Parallel Context Compaction for Long-Horizon LLM Agent Serving

Emotion Recognition in Sign Language Conversation

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

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

Cultural Adaptation in Large Language Models for Political Discourse

DART: Semantic Recoverability for Structured Tool Agents

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

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

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

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

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

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

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

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

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

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

Articulatory strategy as a source of variation in acoustic vowel dynamics

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

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

Naturalistic measure of social norms alignment

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

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

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

Scene Reconstruction as Mapping Priors for 3D Detection

Solving the Aircraft Disassembly Scheduling Problem

ARES: Automated Rubric Synthesis for Scalable LLM Reinforcement Learning

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

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

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

Millimeter-wave Imaging for Anthropometric Body Measurement

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

Structure-Guided Entity Resolution: Fine-Tuning LLMs for Robust Name Matching in Complex Linguistic Contexts

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

Agentic Proving for Program Verification

Benchmarking Google Embeddings 2 against Open-Source Models for Multilingual Dense Retrieval and RAG Systems

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

Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment

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

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

Inconsistency-aware Multimodal Schrödinger Bridge for Deepfake Localization

OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents

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

OnePred: Next-Query Prediction via Recursive Intent Memory in Multi-Turn Conversations

Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking

ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models

An AI-Driven Framework for Energy-Efficient Environmental Monitoring in Smart Cities Using Edge Intelligence

VisAnalog: A Diagnostic Suite for Visual Concept Transfer on Natural Images

Metadata Predictability Is Not Evidence Dependence: An Intervention-Based Audit for Weak-Label Benchmarks

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