{"total":30,"rows":[{"id":"2502.03387","title":"LIMO: Less is More for Reasoning","created":"2025-02-05","cited_by_count":498,"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":"2405.00332","title":"A Careful Examination of Large Language Model Performance on Grade School Arithmetic","created":"2024-05-01","cited_by_count":191,"area":"lr"},{"id":"2410.23123","title":"On Memorization of Large Language Models in Logical Reasoning","created":"2024-10-30","cited_by_count":117,"area":"lr"},{"id":"2507.10532","title":"Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination","created":"2025-07-14","cited_by_count":82,"area":"lr"},{"id":"2406.12753","title":"OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI","created":"2024-06-18","cited_by_count":71,"area":"lr"},{"id":"2507.16812","title":"MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning","created":"2025-07-22","cited_by_count":59,"area":"lr"},{"id":"2504.02807","title":"MegaMath: Pushing the Limits of Open Math Corpora","created":"2025-04-03","cited_by_count":51,"area":"lr"},{"id":"2502.00334","title":"UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models","created":"2025-02-01","cited_by_count":48,"area":"lr"},{"id":"2501.02448","title":"Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap","created":"2025-01-05","cited_by_count":43,"area":"lr"},{"id":"2410.01748","title":"Not All LLM Reasoners Are Created Equal","created":"2024-10-02","cited_by_count":30,"area":"lr"},{"id":"2501.14851","title":"JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models","created":"2025-01-24","cited_by_count":22,"area":"lr"},{"id":"2602.06176","title":"Large Language Model Reasoning Failures","created":"2026-02-05","cited_by_count":21,"area":"lr"},{"id":"2405.14039","title":"Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning","created":"2024-05-22","cited_by_count":18,"area":"lr"},{"id":"2410.01999","title":"CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs","created":"2024-10-02","cited_by_count":18,"area":"lr"},{"id":"2601.18744","title":"TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models","created":"2026-01-26","cited_by_count":18,"area":"lr"},{"id":"2510.12171","title":"MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science","created":"2025-10-14","cited_by_count":15,"area":"lr"},{"id":"2512.00818","title":"Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning","created":"2025-11-30","cited_by_count":14,"area":"lr"},{"id":"2506.00022","title":"Scaling Physical Reasoning with the PHYSICS Dataset","created":"2025-05-21","cited_by_count":13,"area":"lr"},{"id":"2406.04197","title":"DICE: Detecting In-distribution Contamination in LLM's Fine-tuning Phase for Math Reasoning","created":"2024-06-06","cited_by_count":11,"area":"lr"},{"id":"2601.02996","title":"Large Reasoning Models Are (Not Yet) Multilingual Latent Reasoners","created":"2026-01-06","cited_by_count":9,"area":"lr"},{"id":"2510.24427","title":"SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language Models","created":"2025-10-28","cited_by_count":5,"area":"lr"},{"id":"2603.02119","title":"Pencil Puzzle Bench: A Benchmark for Multi-Step Verifiable Reasoning","created":"2026-03-02","cited_by_count":5,"area":"lr"},{"id":"2502.12022","title":"Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving","created":"2025-02-17","cited_by_count":4,"area":"lr"},{"id":"2504.14175","title":"Hypothetical Documents or Knowledge Leakage? Rethinking LLM-based Query Expansion","created":"2025-04-19","cited_by_count":3,"area":"lr"},{"id":"2412.11763","title":"QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs","created":"2024-12-16","cited_by_count":0,"area":"lr"},{"id":"2605.23965","title":"LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs","created":"2026-05-12","cited_by_count":0,"area":"lr"},{"id":"2608.12391","title":"Unified Multi-Dimensional Benchmark for Complex Graph Reasoning in Large Language Models","created":"2026-08-02","cited_by_count":0,"area":"lr"},{"id":"2608.22622","title":"Teaching LLMs How ICU Physicians Approach Clinical Reasoning Through OMOP-Aligned Retrieval Improves Reasoning Across Clinical Domains","created":"2026-08-23","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"}],"next_cursor":null}