Multidimensional Resilience for Electrical Power Systems: Systematic Review, Integrated Index, and Validation under Real-World Cyber-Physical Attack Scenarios

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

[Submitted on 6 Jun 2026] · 2026-06-10 · via cs updates on arXiv.org

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