{"total":69,"rows":[{"id":"2412.05579","title":"LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods","created":"2024-12-07","cited_by_count":465,"area":null},{"id":"2501.07301","title":"The Lessons of Developing Process Reward Models in Mathematical Reasoning","created":"2025-01-13","cited_by_count":415,"area":"lr"},{"id":"2503.09567","title":"Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models","created":"2025-03-12","cited_by_count":384,"area":"lr"},{"id":"2505.04588","title":"ZeroSearch: Incentivize the Search Capability of LLMs without Searching","created":"2025-05-07","cited_by_count":208,"area":null},{"id":"2406.12753","title":"OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI","created":"2024-06-18","cited_by_count":71,"area":"lr"},{"id":"2504.06514","title":"Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?","created":"2025-04-09","cited_by_count":58,"area":"lr"},{"id":"2506.16141","title":"GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning","created":"2025-06-19","cited_by_count":47,"area":"lr"},{"id":"2405.02079","title":"Argumentative Large Language Models for Explainable and Contestable Claim Verification","created":"2024-05-03","cited_by_count":36,"area":null},{"id":"2503.10621","title":"DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario Understanding","created":"2025-03-13","cited_by_count":36,"area":"mllm"},{"id":"2406.13975","title":"MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs","created":"2024-06-20","cited_by_count":30,"area":"lr"},{"id":"2506.21621","title":"The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical Proofs","created":"2025-06-23","cited_by_count":30,"area":null},{"id":"2406.13261","title":"BeHonest: Benchmarking Honesty in Large Language Models","created":"2024-06-19","cited_by_count":24,"area":null},{"id":"2502.13943","title":"AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence","created":"2025-02-19","cited_by_count":24,"area":"lr"},{"id":"2504.01995","title":"Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics","created":"2025-04-01","cited_by_count":24,"area":"lr"},{"id":"2502.14361","title":"Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning","created":"2025-02-20","cited_by_count":23,"area":"lr"},{"id":"2503.16460","title":"Beyond Final Answers: Evaluating Large Language Models for Math Tutoring","created":"2025-02-23","cited_by_count":23,"area":null},{"id":"2410.01729","title":"Evaluating Robustness of Reward Models for Mathematical Reasoning","created":"2024-10-02","cited_by_count":22,"area":"lr"},{"id":"2510.13744","title":"Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math","created":"2025-10-15","cited_by_count":22,"area":"lr"},{"id":"2409.02465","title":"DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels","created":"2024-09-04","cited_by_count":21,"area":"lr"},{"id":"2506.07927","title":"Solving Inequality Proofs with Large Language Models","created":"2025-06-09","cited_by_count":21,"area":"lr"},{"id":"2506.09338","title":"Know What You Don't Know: Uncertainty Calibration of Process Reward Models","created":"2025-06-11","cited_by_count":21,"area":"lr"},{"id":"2504.13828","title":"Generative AI Act II: Test Time Scaling Drives Cognition Engineering","created":"2025-04-18","cited_by_count":15,"area":"lr"},{"id":"2503.08525","title":"GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training","created":"2025-03-11","cited_by_count":14,"area":"lr"},{"id":"2503.12505","title":"MPBench: A Comprehensive Multimodal Reasoning Benchmark for Process Errors Identification","created":"2025-03-16","cited_by_count":13,"area":"lr"},{"id":"2503.17726","title":"A Survey on Mathematical Reasoning and Optimization with Large Language Models","created":"2025-03-22","cited_by_count":12,"area":"lr"},{"id":"2508.20131","title":"ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation","created":"2025-08-26","cited_by_count":12,"area":"rag"},{"id":"2502.06217","title":"Examining False Positives under Inference Scaling for Mathematical Reasoning","created":"2025-02-10","cited_by_count":11,"area":"lr"},{"id":"2502.14333","title":"A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics","created":"2025-02-20","cited_by_count":11,"area":"lr"},{"id":"2506.03570","title":"FreePRM: Training Process Reward Models Without Ground Truth Process Labels","created":"2025-06-04","cited_by_count":11,"area":"lr"},{"id":"2410.19056","title":"ReasonAgain: Using Extractable Symbolic Programs to Evaluate Mathematical Reasoning","created":"2024-10-24","cited_by_count":9,"area":"lr"},{"id":"2509.14662","title":"Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory","created":"2025-09-18","cited_by_count":9,"area":"lr"},{"id":"2410.14668","title":"MiCEval: Unveiling Multimodal Chain of Thought's Quality via Image Description and Reasoning Steps","created":"2024-10-18","cited_by_count":8,"area":"lr"},{"id":"2505.18555","title":"Unraveling Misinformation Propagation in LLM Reasoning","created":"2025-05-24","cited_by_count":6,"area":"lr"},{"id":"2509.16548","title":"SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning","created":"2025-09-20","cited_by_count":6,"area":"lr"},{"id":"2512.16917","title":"Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning","created":"2025-12-18","cited_by_count":6,"area":"lr"},{"id":"2503.06553","title":"ProJudge: A Multi-Modal Multi-Discipline Benchmark and Instruction-Tuning Dataset for MLLM-based Process Judges","created":"2025-03-09","cited_by_count":5,"area":"lr"},{"id":"2510.13501","title":"Confidence as a Reward: Transforming LLMs into Reward Models","created":"2025-10-15","cited_by_count":5,"area":"lr"},{"id":"2512.07019","title":"Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length","created":"2025-12-07","cited_by_count":5,"area":"lr"},{"id":"2510.09021","title":"RefGrader: Automated Grading of Mathematical Competition Proofs using Agentic Workflows","created":"2025-10-10","cited_by_count":4,"area":"agents"},{"id":"2510.25626","title":"Are Language Models Efficient Reasoners? A Perspective from Logic Programming","created":"2025-10-29","cited_by_count":4,"area":"lr"},{"id":"2503.10105","title":"StepMathAgent: A Step-Wise Agent for Evaluating Mathematical Processes through Tree-of-Error","created":"2025-03-13","cited_by_count":3,"area":"agents"},{"id":"2510.16449","title":"TrajSelector: Harnessing Latent Representations for Efficient and Effective Best-of-N in Large Reasoning Model","created":"2025-10-18","cited_by_count":3,"area":"lr"},{"id":"2512.13043","title":"GTR-Turbo: Merged Checkpoint is Secretly a Free Teacher for Agentic VLM Training","created":"2025-12-15","cited_by_count":3,"area":"mllm"},{"id":"2503.14630","title":"Assessing Large Language Models for Automated Feedback Generation in Learning Programming Problem Solving","created":"2025-03-18","cited_by_count":2,"area":null},{"id":"2508.06124","title":"AURA: Affordance-Understanding and Risk-aware Alignment Technique for Large Language Models","created":"2025-08-08","cited_by_count":2,"area":"alignment"},{"id":"2509.25529","title":"Personalized Auto-Grading and Feedback System for Constructive Geometry Tasks Using Large Language Models on an Online Math Platform","created":"2025-09-29","cited_by_count":2,"area":null},{"id":"2511.09139","title":"MACEval: A Multi-Agent Continual Evaluation Network for Large Models","created":"2025-11-12","cited_by_count":2,"area":null},{"id":"2604.17282","title":"MedPRMBench: A Fine-grained Benchmark for Process Reward Models in Medical Reasoning","created":"2026-04-19","cited_by_count":2,"area":"lr"},{"id":"2505.15623","title":"Can LLMs $\\textit{understand}$ Math? -- Exploring the Pitfalls in Mathematical Reasoning","created":"2025-05-21","cited_by_count":1,"area":"lr"},{"id":"2510.09295","title":"MaP: A Unified Framework for Reliable Evaluation of Pre-training Dynamics","created":"2025-10-10","cited_by_count":1,"area":null},{"id":"2512.20162","title":"Concept Generalization in Humans and Large Language Models: Insights from the Number Game","created":"2025-12-23","cited_by_count":1,"area":null},{"id":"2603.17169","title":"How Clued up are LLMs? Evaluating Multi-Step Deductive Reasoning in a Text-Based Game Environment","created":"2026-03-17","cited_by_count":1,"area":"lr"},{"id":"2604.08723","title":"Decomposing the Delta: What Do Models Actually Learn from Preference Pairs?","created":"2026-04-09","cited_by_count":1,"area":"alignment"},{"id":"2604.14121","title":"Correct Prediction, Wrong Steps? Consensus Reasoning Knowledge Graph for Robust Chain-of-Thought Synthesis","created":"2026-04-15","cited_by_count":1,"area":"lr"},{"id":"2604.14188","title":"Grading the Unspoken: Evaluating Tacit Reasoning in Quantum Field Theory and String Theory with LLMs","created":"2026-04-01","cited_by_count":1,"area":"lr"},{"id":"2606.32029","title":"When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors","created":"2026-06-30","cited_by_count":1,"area":null},{"id":"2407.01046","title":"FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large Language Models","created":"2024-07-01","cited_by_count":0,"area":"lr"},{"id":"2503.14838","title":"Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning","created":"2025-03-19","cited_by_count":0,"area":"lr"},{"id":"2505.12328","title":"LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning","created":"2025-05-18","cited_by_count":0,"area":"lr"},{"id":"2601.11252","title":"Beyond Model Scaling: Test-Time Intervention for Efficient Deep Reasoning","created":"2026-01-16","cited_by_count":0,"area":"lr"},{"id":"2601.13731","title":"Breaking the Data Barrier in Learning Symbolic Computation: A Case Study on Variable Ordering Suggestion for Cylindrical Algebraic Decomposition","created":"2026-01-20","cited_by_count":0,"area":"lr"},{"id":"2602.02295","title":"EvalQReason: A Framework for Step-Level Reasoning Evaluation in Large Language Models","created":"2026-02-02","cited_by_count":0,"area":"lr"},{"id":"2604.11996","title":"Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces","created":"2026-04-13","cited_by_count":0,"area":"lr"},{"id":"2605.06785","title":"Distributional Process Reward Models: Calibrated Prediction of Future Rewards via Conditional Optimal Transport","created":"2026-05-07","cited_by_count":0,"area":"lr"},{"id":"2607.24199","title":"Reasoning to Regulate: Chain-of-Thought for Traffic Rule Understanding","created":"2026-07-27","cited_by_count":0,"area":"lr"},{"id":"2608.26329","title":"Neuro-symbolic PRM: Enhancing Scientific Reasoning via Structured Traces and Symbolic Verification","created":"2026-08-26","cited_by_count":0,"area":"lr"},{"id":"2609.02000","title":"Who Drives the Probability Game of VLMs? A Temporal Causal Drive Evaluation Framework","created":"2026-09-02","cited_by_count":0,"area":"mllm"},{"id":"2609.32235","title":"Solving Every Step Is Not Enough: Milestone Oracles Reveal a Composition Gap in LLM Math Reasoning","created":"2026-09-26","cited_by_count":0,"area":"lr"},{"id":"2609.36982","title":"SRJudge: Empowering Large Language Models with Selective Reasoning for Fine-Grained Knowledge Concept Tagging","created":"2026-09-29","cited_by_count":0,"area":"lr"}],"next_cursor":null}