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cs.CL updates on arXiv.org

DharmaOCR: Specialized Small Language Models for Structured OCR that outperform Open-Source and Commercial Baselines Learning Adaptive Reasoning Paths for Efficient Visual Reasoning AIM: Asymmetric Information Masking for Visual Question Answering Continual Learning RaTA-Tool: Retrieval-based Tool Selection with Multimodal Large Language Models MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation Neuro-Oracle: A Trajectory-Aware Agentic RAG Framework for Interpretable Epilepsy Surgical Prognosis The Cost of Language: Centroid Erasure Exposes and Exploits Modal Competition in Multimodal Language Models Rethinking Patient Education as Multi-turn Multi-modal Interaction Knowing When Not to Answer: Evaluating Abstention in Multimodal Reasoning Systems Reasoning Dynamics and the Limits of Monitoring Modality Reliance in Vision-Language Models ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis One RL to See Them All: Visual Triple Unified Reinforcement Learning VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding Counting Without Numbers and Finding Without Words KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality POP: Prefill-Only Pruning for Efficient Large Model Inference ConfLayers: Adaptive Confidence-based Layer Skipping for Self-Speculative Decoding LongAct: Harnessing Intrinsic Activation Patterns for Long-Context Reinforcement Learning What Is the Minimum Architecture for Prolepsis? Early Irrevocable Commitment Across Tasks in Small Transformers AdaSplash-2: Faster Differentiable Sparse Attention Can Large Language Models Detect Methodological Flaws? Evidence from Gesture Recognition for UAV-Based Rescue Operation Based on Deep Learning Decoupling Scores and Text: The Politeness Principle in Peer Review Correcting Suppressed Log-Probabilities in Language Models with Post-Transformer Adapters Indexing Multimodal Language Models for Large-scale Image Retrieval UI-Zoomer: Uncertainty-Driven Adaptive Zoom-In for GUI Grounding SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments Caption First, VQA Second: Knowledge Density, Not Task Format, Drives Multimodal Scaling PersonaVLM: Long-Term Personalized Multimodal LLMs MERRIN: A Benchmark for Multimodal Evidence Retrieval and Reasoning in Noisy Web Environments MedRCube: A Multidimensional Framework for Fine-Grained and In-Depth Evaluation of MLLMs in Medical Imaging Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking Reward Design for Physical Reasoning in Vision-Language Models When 'YES' Meets 'BUT': Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning? Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows Chain of Uncertain Rewards with Large Language Models for Reinforcement Learning (How) Learning Rates Regulate Catastrophic Overtraining Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning $\pi$-Play: Multi-Agent Self-Play via Privileged Self-Distillation without External Data From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space A Domain-Specific Language for LLM-Driven Trigger Generation in Multimodal Data Collection The Consciousness Cluster: Emergent preferences of Models that Claim to be Conscious KMMMU: Evaluation of Massive Multi-discipline Multimodal Understanding in Korean Language and Context Dental-TriageBench: Benchmarking Multimodal Reasoning for Hierarchical Dental Triage Lossless Prompt Compression via Dictionary-Encoding and In-Context Learning: Enabling Cost-Effective LLM Analysis of Repetitive Data Detection Without Correction: A Robust Asymmetry in Activation-Based Hallucination Probing LiveClawBench: Benchmarking LLM Agents on Complex, Real-World Assistant Tasks Better and Worse with Scale: How Contextual Entrainment Diverges with Model Size Functional Emotions or Situational Contexts? A Discriminating Test from the Mythos Preview System Card C2: Scalable Rubric-Augmented Reward Modeling from Binary Preferences Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain Text-as-Signal: Quantitative Semantic Scoring with Embeddings, Logprobs, and Noise Reduction A Multi-Model Approach to English-Bangla Sentiment Classification of Government Mobile Banking App Reviews A Proactive EMR Assistant for Doctor-Patient Dialogue: Streaming ASR, Belief Stabilization, and Preliminary Controlled Evaluation Token Statistics Reveal Conversational Drift in Multi-turn LLM Interaction Mathematical Reasoning Enhanced LLM for Formula Derivation: A Case Study on Fiber NLI Modellin Red Skills or Blue Skills? A Dive Into Skills Published on ClawHub Correct Chains, Wrong Answers: Dissociating Reasoning from Output in LLM Logic Curation of a Palaeohispanic Dataset for Machine Learning EVE: A Domain-Specific LLM Framework for Earth Intelligence OmniTrace: A Unified Framework for Generation-Time Attribution in Omni-Modal LLMs DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs Document-tuning for robust alignment to animals Can Large Language Models Reliably Extract Physiology Index Values from Coronary Angiography Reports? IWLV-Ramayana: A Sarga-Aligned Parallel Corpus of Valmiki's Ramayana Across Indian Languages Unleashing Implicit Rewards: Prefix-Value Learning for Distribution-Level Optimization InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis Evaluating the Evaluator: Problems with SemEval-2020 Task 1 for Lexical Semantic Change Detection Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs L2D-Clinical: Learning to Defer for Adaptive Model Selection in Clinical Text Classification English is Not All You Need: Systematically Exploring the Role of Multilinguality in LLM Post-Training Giving Voice to the Constitution: Low-Resource Text-to-Speech for Quechua and Spanish Using a Bilingual Legal Corpus AgentSPEX: An Agent SPecification and EXecution Language Peer-Predictive Self-Training for Language Model Reasoning TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints From Prediction to Justification: Aligning Sentiment Reasoning with Human Rationale via Reinforcement Learning CANVAS: Continuity-Aware Narratives via Visual Agentic Storyboarding Using reasoning LLMs to extract SDOH events from clinical notes ToolSpec: Accelerating Tool Calling via Schema-Aware and Retrieval-Augmented Speculative Decoding Synthesizing Instruction-Tuning Datasets with Contrastive Decoding Debate to Align: Reliable Entity Alignment through Two-Stage Multi-Agent Debate Training-Free Test-Time Contrastive Learning for Large Language Models YOCO++: Enhancing YOCO with KV Residual Connections for Efficient LLM Inference MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning BenGER Platform: A Collaborative Web Platform for End-to-End Benchmarking of German Legal Tasks Foresight Optimization for Strategic Reasoning in Large Language Models Syn-TurnTurk: A Synthetic Dataset for Turn-Taking Prediction in Turkish Dialogues IndicDB -- Benchmarking Multilingual Text-to-SQL Capabilities in Indian Languages Breaking the Generator Barrier: Disentangled Representation for Generalizable AI-Text Detection Beyond Arrow's Impossibility: Fairness as an Emergent Property of Multi-Agent Collaboration Co-FactChecker: A Framework for Human-AI Collaborative Claim Verification Using Large Reasoning Models Learning the Cue or Learning the Word? Analyzing Generalization in Metaphor Detection for Verbs
FMRFusion: Frequency-Aware Multi-View Representation Learning for Heterogeneous Image Fusion
[Submitted on 6 Jun 2026] · 2026-06-09 · via cs.CL updates on arXiv.org
arXiv:2606.07985v1 Announce Type: new Abstract: Infrared and visible image fusion aims to generate a composit…