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Stop Listening to Me! How Multi-turn Conversations Can Degrade LLM Reliability SWE-Adept: An LLM-Based Agentic Framework for Deep Codebase Analysis and Structured Issue Resolution The Need for an External Observer Formalizing the Sufficiency Gap: A Mathematical Extension of Mixture Identifiability and Contextual Grounding in Sequence Models MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding The Labyrinth and the Thread: Rethinking Regularizations in Sequential Knowledge Editing for Large Language Models LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence Representation-Aware Unlearning via Activation Signatures: From Suppression to Entity-Signature Erasure Conceptual Steganography Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models Athena: Enhancing Multimodal Reasoning with Data-efficient Process Reward Models The Strongest Teacher Is Not Always the Best Teacher: Student-Centric Answer Selection Probing Minimalist Phase Structure in LLMs: What Universal Dependencies Cannot Represent Slide Deck Q&A Quality Assurance App: A Multi-Stage Pipeline for Pedagogical Question Generation Learning GUI Grounding with Spatial Reasoning from Visual Feedback Hubness, Not Anisotropy, Drives Cross-Lingual Retrieval Asymmetry in Multilingual Embedding Models Elias in the Lighthouse, Again? Diagnosing Low Diversity in LLM Stories LaRe: Latent Refocusing for Multimodal Reasoning Evidence Absence Is Not Evidence Insufficiency: Diagnosing NEI Construction Artifacts in Fact Verification QAM-W: Joint 2D Codebook Quantization for LLM Weights via Hadamard Rotation and Activation-Aware Scaling Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines SPEAR: Code-Augmented Agentic Prompt Optimization Beyond Transfer Accuracy: Faithful Circuits for Controlled Low-Resource Adaptation Beyond Binary: Speech Representations Across the Cognitive Score Hierarchy Energy-Gated Attention and Wavelet Positional Encoding: Complementary Inductive Biases for Transformer Attention Tracing Computation Density in LLMs UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning CroCo: Cross-Lingual Contrastive Preference Tuning on Self-Generations OmniInteract: Benchmarking Real-World Streaming Interaction for Real-Time Omnimodal Assistants From Snippets to Semantics: Rethinking Evidence Granularity for Multilingual Fact Verification Rethinking the Multilingual Reasoning Gap with Layer Swap Pop-Up Distractions Reveal Bag-of-Events Behavior in Video Large Language Models Vectors Are Not Neutral: Sensitive-Information Inference from Exported LLM Representations in Summarization Model Unlearning Objectives Vary for Distinct Language Functions Memory Architectures for Multi-Turn Text-to-SQL: A Benchmark and Empirical Study SetupX: Can LLM Agents Learn from Past Failures in Functionality-Correct Code Repository Setup? 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How Large Language Models Handle Variations in Math Questions LiPUP-MA: A Residential Experience-centric Multi-Agent Framework for Living-in-the-loop Participatory Urban Planning The Daily Dose: Workflow-Integrated Large Language Model Automation for Clinical Summarization and Trial Identification in Radiation Oncology An In-Vitro Study on Cross-Lingual Generalization in Language Models A Universal Cliff and a Design Fingerprint: Cross-Section Defect Detection Under LLM Orchestration MicroSpec: Accelerating Speculative Decoding with Lightweight In-Context Vocabularies Towards Just-in-Time Adaptive Feedback: Enhancing Student Learning via Knowledge-Grounded LLM FAB-Bench: A Framework for Adaptive RAG Benchmarking in Semiconductor Manufacturing RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective Annotator Positionality as Signal: Psychometric Weighting for Anti-Autistic Ableism Detection LURE: Live-Usage Replay Evaluations for Reducing Evaluation Awareness Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations AI evaluation may bias perceptions: The importance of context in interpreting academic writing Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline Granuscore: A Reference-Free Measure of Granularity for Text Analysis and Question Answering Not All Tokens Matter Equally: Dynamic In-context Vector Distillation with Decisive-Token Supervision for Long-form Medical Report Generation Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization Chartographer: Counterfactual Chart Generation for Evaluating Vision-Language Models Verilog-Evolve: Feedback-Driven and Skill-Evolving Verilog Generation Why Prompt Optimization Works, and Why It Sometimes Doesn't: A Causal-Inspired Edit-Level Analysis Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications LLMs Are Already Good Tutors: Training-Free Prompt Optimization for Pedagogical Math Tutoring BhashaSetu: A Data-Centric Approach to Low-Resource Machine Translation Advancing Creative Physical Intelligence in Large Multimodal Models Probing the Knowledge Boundary: An Interactive Agentic Framework for Deep Knowledge Extraction Evaluating the Relevance of Uncertainty Estimators for LLM Hallucination It's Not Always Sycophancy: Measuring LLM Conformity as a Function of Epistemic Uncertainty Latent Recurrent Transformer: Architecture Exploration, Training Strategies, and Scaling Behavior KARMA: Karma-Aligned Reward Model Adaptation Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders It's Not the Capability: Harness Sensitivity Is Non-Monotone Across LLM Agent Tiers A Hybrid Vision-Language Architecture for Automated Defect Reasoning and Report Generation in Industrial Inspection Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models Bounded Path Context: A Controlled Study of Visible Path History in LLM-Based Knowledge Graph Question Answering Cultural Value Alignment Via Latent Activation Steering in Large Language Models Conv-to-Bench: Evaluating Language Models Via User-Assistant Dialogues In Code Tasks Targeted Remasking: Replacing Token Editing with Token-to-Mask Refinement in Discrete Diffusion Language Models

Searching the Internet for Challenging Benchmarks at Scale

Wenda Xu, Vi · 2026-05-08 · via cs.CL updates on arXiv.org

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