{"total":92,"rows":[{"id":"2409.12186","title":"Qwen2.5-Coder Technical Report","created":"2024-09-18","cited_by_count":1203,"area":"lr"},{"id":"2411.15124","title":"Tulu 3: Pushing Frontiers in Open Language Model Post-Training","created":"2024-11-22","cited_by_count":1053,"area":"lr"},{"id":"2601.20802","title":"Reinforcement Learning via Self-Distillation","created":"2026-01-28","cited_by_count":332,"area":"lr"},{"id":"2410.07985","title":"Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models","created":"2024-10-10","cited_by_count":284,"area":"lr"},{"id":"2406.06613","title":"GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents","created":"2024-06-07","cited_by_count":95,"area":"lr"},{"id":"2501.12368","title":"InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model","created":"2025-01-21","cited_by_count":74,"area":"lr"},{"id":"2412.10400","title":"Reinforcement Learning Enhanced LLMs: A Survey","created":"2024-12-05","cited_by_count":71,"area":"lr"},{"id":"2410.02725","title":"Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation","created":"2024-10-03","cited_by_count":64,"area":"lr"},{"id":"2411.04991","title":"Rethinking Bradley-Terry Models in Preference-Based Reward Modeling: Foundations, Theory, and Alternatives","created":"2024-11-07","cited_by_count":48,"area":"lr"},{"id":"2407.05557","title":"$R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning","created":"2024-07-08","cited_by_count":43,"area":"lr"},{"id":"2504.03846","title":"Do LLM Evaluators Prefer Themselves for a Reason?","created":"2025-04-04","cited_by_count":38,"area":"lr"},{"id":"2503.17523","title":"Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models","created":"2025-03-21","cited_by_count":37,"area":"lr"},{"id":"2410.06458","title":"LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints","created":"2024-10-09","cited_by_count":35,"area":"lr"},{"id":"2505.02018","title":"R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation","created":"2025-05-04","cited_by_count":34,"area":"lr"},{"id":"2410.06237","title":"BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation","created":"2024-10-08","cited_by_count":32,"area":"lr"},{"id":"2412.06394","title":"GameArena: Evaluating LLM Reasoning through Live Computer Games","created":"2024-12-09","cited_by_count":32,"area":"lr"},{"id":"2501.02295","title":"Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection","created":"2025-01-04","cited_by_count":27,"area":"lr"},{"id":"2510.01499","title":"Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information","created":"2025-10-01","cited_by_count":26,"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":"2505.07215","title":"Measuring General Intelligence with Generated Games","created":"2025-05-12","cited_by_count":24,"area":"lr"},{"id":"2506.08295","title":"From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?","created":"2025-06-09","cited_by_count":23,"area":"lr"},{"id":"2505.14268","title":"Think-J: Learning to Think for Generative LLM-as-a-Judge","created":"2025-05-20","cited_by_count":21,"area":"lr"},{"id":"2412.13602","title":"GAMEBoT: Transparent Assessment of LLM Reasoning in Games","created":"2024-12-18","cited_by_count":17,"area":"lr"},{"id":"2503.04378","title":"HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks","created":"2025-03-06","cited_by_count":17,"area":"lr"},{"id":"2409.02257","title":"MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs","created":"2024-09-03","cited_by_count":16,"area":"lr"},{"id":"2507.17849","title":"Dynamic and Generalizable Process Reward Modeling","created":"2025-07-23","cited_by_count":16,"area":"lr"},{"id":"2411.03519","title":"AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution","created":"2024-11-05","cited_by_count":14,"area":"lr"},{"id":"2504.10839","title":"Rethinking Theory of Mind Benchmarks for LLMs: Towards A User-Centered Perspective","created":"2025-04-15","cited_by_count":14,"area":"lr"},{"id":"2503.13447","title":"MetaScale: Test-Time Scaling with Evolving Meta-Thoughts","created":"2025-03-17","cited_by_count":13,"area":"lr"},{"id":"2504.11042","title":"LazyReview A Dataset for Uncovering Lazy Thinking in NLP Peer Reviews","created":"2025-04-15","cited_by_count":13,"area":"lr"},{"id":"2511.03628","title":"LiveTradeBench: Seeking Real-World Alpha with Large Language Models","created":"2025-11-05","cited_by_count":13,"area":"lr"},{"id":"2605.22344","title":"Bernini: Latent Semantic Planning for Video Diffusion","created":"2026-05-21","cited_by_count":12,"area":"lr"},{"id":"2405.06694","title":"SUTRA: Scalable Multilingual Language Model Architecture","created":"2024-05-07","cited_by_count":11,"area":"lr"},{"id":"2501.09775","title":"Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident, Especially When They are Wrong","created":"2025-01-16","cited_by_count":11,"area":"lr"},{"id":"2505.11718","title":"REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning","created":"2025-05-16","cited_by_count":11,"area":"lr"},{"id":"2511.05722","title":"OckBench: Measuring the Efficiency of LLM Reasoning","created":"2025-11-07","cited_by_count":11,"area":"lr"},{"id":"2409.05197","title":"Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?","created":"2024-09-08","cited_by_count":10,"area":"lr"},{"id":"2505.13115","title":"Benchmarking and Confidence Evaluation of LALMs For Temporal Reasoning","created":"2025-05-19","cited_by_count":10,"area":"lr"},{"id":"2502.02988","title":"Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons","created":"2025-02-05","cited_by_count":9,"area":"lr"},{"id":"2407.13490","title":"Combining Constraint Programming Reasoning with Large Language Model Predictions","created":"2024-07-18","cited_by_count":8,"area":"lr"},{"id":"2507.21476","title":"Which LLMs Get the Joke? Probing Non-STEM Reasoning Abilities with HumorBench","created":"2025-07-29","cited_by_count":8,"area":"lr"},{"id":"2505.17592","title":"AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model","created":"2025-05-23","cited_by_count":7,"area":"lr"},{"id":"2502.12896","title":"None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks","created":"2025-02-18","cited_by_count":6,"area":"lr"},{"id":"2502.15725","title":"Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction","created":"2025-01-28","cited_by_count":5,"area":"lr"},{"id":"2504.20157","title":"Toward Evaluative Thinking: Meta Policy Optimization with Evolving Reward Models","created":"2025-04-28","cited_by_count":5,"area":"lr"},{"id":"2506.12012","title":"Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making","created":"2025-06-13","cited_by_count":5,"area":"lr"},{"id":"2509.03906","title":"Toward Clinically Explainable AI for Medical Diagnosis: A Foundation Model with Human-Compatible Reasoning via Reinforcement Learning","created":"2025-09-04","cited_by_count":5,"area":"lr"},{"id":"2509.12718","title":"EvoEmpirBench: Dynamic Spatial Reasoning with Agent-ExpVer","created":"2025-09-16","cited_by_count":5,"area":"lr"},{"id":"2510.01924","title":"To Mask or to Mirror: Human-AI Alignment in Collective Reasoning","created":"2025-10-02","cited_by_count":5,"area":"lr"},{"id":"2502.19409","title":"ImageChain: Advancing Sequential Image-to-Text Reasoning in Multimodal Large Language Models","created":"2025-02-26","cited_by_count":4,"area":"lr"},{"id":"2511.06346","title":"LPFQA: A Long-Tail Professional Forum-based Benchmark for LLM Evaluation","created":"2025-11-09","cited_by_count":4,"area":"lr"},{"id":"2606.06538","title":"WorldBench: A Challenging and Visually Diverse Multimodal Reasoning Benchmark","created":"2026-06-04","cited_by_count":4,"area":"lr"},{"id":"2501.03675","title":"SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image Reasoning","created":"2025-01-07","cited_by_count":3,"area":"lr"},{"id":"2504.10496","title":"ArXivBench: When You Should Avoid Using ChatGPT for Academic Writing","created":"2025-04-06","cited_by_count":3,"area":"lr"},{"id":"2505.22661","title":"GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning","created":"2025-05-28","cited_by_count":3,"area":"lr"},{"id":"2509.11026","title":"Rethinking Human Preference Evaluation of LLM Rationales","created":"2025-09-14","cited_by_count":3,"area":"lr"},{"id":"2509.23633","title":"Fast Thinking for Large Language Models","created":"2025-09-28","cited_by_count":3,"area":"lr"},{"id":"2509.24239","title":"ChessArena: A Chess Testbed for Evaluating Strategic Reasoning Capabilities of Large Language Models","created":"2025-09-29","cited_by_count":3,"area":"lr"},{"id":"2510.11985","title":"CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research","created":"2025-10-13","cited_by_count":3,"area":"lr"},{"id":"2605.15177","title":"OpenDeepThink: Parallel Reasoning via Bradley-Terry Aggregation","created":"2026-05-14","cited_by_count":3,"area":"lr"},{"id":"2606.02578","title":"Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling","created":"2026-06-01","cited_by_count":3,"area":"lr"},{"id":"2404.15206","title":"Does Instruction Tuning Make LLMs More Consistent?","created":"2024-04-23","cited_by_count":2,"area":"lr"},{"id":"2406.04464","title":"On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing","created":"2024-06-06","cited_by_count":2,"area":"lr"},{"id":"2412.15177","title":"Critical-Questions-of-Thought: Steering LLM reasoning with Argumentative Querying","created":"2024-12-19","cited_by_count":2,"area":"lr"},{"id":"2502.12825","title":"Reasoning and the Trusting Behavior of DeepSeek and GPT: An Experiment Revealing Hidden Fault Lines in Large Language Models","created":"2025-02-18","cited_by_count":2,"area":"lr"},{"id":"2508.09956","title":"Performance of GPT-5 Frontier Models in Ophthalmology Question Answering","created":"2025-08-13","cited_by_count":2,"area":"lr"},{"id":"2510.12409","title":"PricingLogic: Evaluating LLMs Reasoning on Complex Tourism Pricing Tasks","created":"2025-10-14","cited_by_count":2,"area":"lr"},{"id":"2602.14469","title":"Measuring and Mitigating Post-hoc Rationalization in Reverse Chain-of-Thought Generation","created":"2026-02-16","cited_by_count":2,"area":"lr"},{"id":"2609.15309","title":"When Agents Slow Down: Understanding LLM Agents' Test-Time Strategies via Elo-per-token Analysis","created":"2026-09-14","cited_by_count":2,"area":"lr"},{"id":"2408.12333","title":"GRATR: Zero-Shot Evidence Graph Retrieval-Augmented Trustworthiness Reasoning","created":"2024-08-22","cited_by_count":1,"area":"lr"},{"id":"2502.03253","title":"How do Humans and Language Models Reason About Creativity? A Comparative Analysis","created":"2025-02-05","cited_by_count":1,"area":"lr"},{"id":"2601.13545","title":"TruthTensor: Evaluating LLMs through Human Imitation on Prediction Market under Drift and Holistic Reasoning","created":"2026-01-20","cited_by_count":1,"area":"lr"},{"id":"2602.14649","title":"GradMAP: Faster Layer Pruning with Gradient Metric and Projection Compensation","created":"2026-02-16","cited_by_count":1,"area":"lr"},{"id":"2603.08704","title":"Evaluating Financial Intelligence in Large Language Models: Benchmarking SuperInvesting AI with LLM Engines","created":"2026-03-09","cited_by_count":1,"area":"lr"},{"id":"2605.14754","title":"XDomainBench: Diagnosing Reasoning Collapse in High-Dimensional Scientific Knowledge Composition","created":"2026-05-14","cited_by_count":1,"area":"lr"},{"id":"2410.07062","title":"TinyEmo: Scaling down Emotional Reasoning via Metric Projection","created":"2024-10-09","cited_by_count":0,"area":"lr"},{"id":"2508.02926","title":"GrandJury: A Collaborative Machine Learning Model Evaluation Protocol for Dynamic Quality Rubrics","created":"2025-08-04","cited_by_count":0,"area":"lr"},{"id":"2601.01825","title":"CSCBench: A PVC Diagnostic Benchmark for Commodity Supply Chain Reasoning","created":"2026-01-05","cited_by_count":0,"area":"lr"},{"id":"2601.14053","title":"LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems","created":"2026-01-20","cited_by_count":0,"area":"lr"},{"id":"2602.05494","title":"A Unified Framework for Rethinking Policy Divergence Measures in GRPO","created":"2026-02-05","cited_by_count":0,"area":"lr"},{"id":"2602.17831","title":"The Token Games: Evaluating Language Model Reasoning with Puzzle Duels","created":"2026-02-19","cited_by_count":0,"area":"lr"},{"id":"2603.17432","title":"Argument Reconstruction as Supervision for Critical Thinking in LLMs","created":"2026-03-18","cited_by_count":0,"area":"lr"},{"id":"2606.05174","title":"Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPO","created":"2026-04-17","cited_by_count":0,"area":"lr"},{"id":"2606.10064","title":"Bittensor Agent Arenas as a Trajectory Primitive: Distilling a Shopping Agent from ShoppingBench Subnet Traces","created":"2026-06-08","cited_by_count":0,"area":"lr"},{"id":"2606.28692","title":"An AI agent for treatment reasoning over a biomedical tool universe","created":"2026-06-27","cited_by_count":0,"area":"lr"},{"id":"2607.08758","title":"Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation","created":"2026-07-09","cited_by_count":0,"area":"lr"},{"id":"2607.18438","title":"Relay-Bench: Evaluating LLMs on Multi-Domain Reasoning Chains","created":"2026-07-20","cited_by_count":0,"area":"lr"},{"id":"2608.29168","title":"JudgePanel: A Compact Judge with Panel Deliberation via Adaptive Multi-Reward Reinforcement Learning","created":"2026-08-29","cited_by_count":0,"area":"lr"},{"id":"2608.30517","title":"ScienceArena: Benchmarking LLMs on Latest Scientific Olympiad Competitions","created":"2026-08-31","cited_by_count":0,"area":"lr"},{"id":"2610.16133","title":"Query Your Way Out: Benchmarking Multi-Turn Knowledge Reasoning through Generalized Puzzle Solving","created":"2026-10-12","cited_by_count":0,"area":"lr"},{"id":"2610.17456","title":"Compositional RL: Evaluating and Training LLMs for Collaborative Reasoning","created":"2026-10-12","cited_by_count":0,"area":"lr"},{"id":"2610.20012","title":"ChemArgus: Automated Scientific Diagnostics for Lab-Grade Multimodal Chemistry Reasoning: A Frontier Benchmark","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}