{"total":56,"rows":[{"id":"2402.03300","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","created":"2024-02-05","cited_by_count":9379,"area":"lr"},{"id":"2501.12599","title":"Kimi k1.5: Scaling Reinforcement Learning with LLMs","created":"2025-01-22","cited_by_count":1210,"area":"lr"},{"id":"2310.10631","title":"Llemma: An Open Language Model For Mathematics","created":"2023-10-16","cited_by_count":388,"area":"lr"},{"id":"2403.09629","title":"Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking","created":"2024-03-14","cited_by_count":301,"area":"lr"},{"id":"2405.03548","title":"MAmmoTH2: Scaling Instructions from the Web","created":"2024-05-06","cited_by_count":145,"area":"lr"},{"id":"2505.07608","title":"MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining","created":"2025-05-12","cited_by_count":121,"area":"lr"},{"id":"2402.06332","title":"InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning","created":"2024-02-09","cited_by_count":119,"area":"lr"},{"id":"2502.12143","title":"Small Models Struggle to Learn from Strong Reasoners","created":"2025-02-17","cited_by_count":113,"area":"lr"},{"id":"2506.20512","title":"OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling","created":"2025-06-25","cited_by_count":113,"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":"2412.16075","title":"Formal Mathematical Reasoning: A New Frontier in AI","created":"2024-12-20","cited_by_count":81,"area":"lr"},{"id":"2501.11651","title":"T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling","created":"2025-01-20","cited_by_count":77,"area":"lr"},{"id":"2401.09003","title":"Augmenting Math Word Problems via Iterative Question Composing","created":"2024-01-17","cited_by_count":59,"area":"lr"},{"id":"2403.02333","title":"Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning","created":"2024-03-04","cited_by_count":58,"area":"lr"},{"id":"2506.08446","title":"A Survey on Large Language Models for Mathematical Reasoning","created":"2025-06-10","cited_by_count":52,"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":"2405.14365","title":"JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models","created":"2024-05-23","cited_by_count":45,"area":"lr"},{"id":"2405.16265","title":"MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time","created":"2024-05-25","cited_by_count":41,"area":"lr"},{"id":"2410.08196","title":"MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code","created":"2024-10-10","cited_by_count":39,"area":"lr"},{"id":"2508.15096","title":"Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset","created":"2025-08-20","cited_by_count":38,"area":"lr"},{"id":"2409.12568","title":"InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning","created":"2024-09-19","cited_by_count":36,"area":"lr"},{"id":"2502.08524","title":"LLM Pretraining with Continuous Concepts","created":"2025-02-12","cited_by_count":36,"area":"lr"},{"id":"2501.14275","title":"Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation","created":"2025-01-24","cited_by_count":29,"area":"lr"},{"id":"2412.08819","title":"HARP: A challenging human-annotated math reasoning benchmark","created":"2024-12-11","cited_by_count":27,"area":"lr"},{"id":"2401.10695","title":"LangBridge: Multilingual Reasoning Without Multilingual Supervision","created":"2024-01-19","cited_by_count":22,"area":"lr"},{"id":"2503.02324","title":"PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models","created":"2025-03-04","cited_by_count":22,"area":"lr"},{"id":"2409.12929","title":"LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning","created":"2024-09-19","cited_by_count":14,"area":"lr"},{"id":"2501.14002","title":"Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages","created":"2025-01-23","cited_by_count":13,"area":"lr"},{"id":"2502.00997","title":"MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs","created":"2025-02-03","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":"2505.23703","title":"Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math Capability","created":"2025-05-29","cited_by_count":11,"area":"lr"},{"id":"2402.14660","title":"ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models","created":"2024-02-22","cited_by_count":10,"area":"lr"},{"id":"2410.18921","title":"From Blind Solvers to Logical Thinkers: Benchmarking LLMs' Logical Integrity on Faulty Mathematical Problems","created":"2024-10-24","cited_by_count":8,"area":"lr"},{"id":"2507.04391","title":"Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning?","created":"2025-07-06","cited_by_count":7,"area":"lr"},{"id":"2509.21282","title":"It's Not You, It's Clipping: A Soft Trust-Region via Probability Smoothing for LLM RL","created":"2025-09-25","cited_by_count":7,"area":"lr"},{"id":"2410.01044","title":"RATIONALYST: Mining Implicit Rationales for Process Supervision of Reasoning","created":"2024-10-01","cited_by_count":6,"area":"lr"},{"id":"2502.19279","title":"CritiQ: Mining Data Quality Criteria from Human Preferences","created":"2025-02-26","cited_by_count":6,"area":"lr"},{"id":"2510.09517","title":"StatEval: A Comprehensive Benchmark for Large Language Models in Statistics","created":"2025-10-10","cited_by_count":6,"area":"lr"},{"id":"2502.11684","title":"MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task","created":"2025-02-17","cited_by_count":5,"area":"lr"},{"id":"2505.17746","title":"Fast Quiet-STaR: Thinking Without Thought Tokens","created":"2025-05-23","cited_by_count":5,"area":"lr"},{"id":"2601.03559","title":"DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs","created":"2026-01-07","cited_by_count":5,"area":"lr"},{"id":"2602.19548","title":"Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining","created":"2026-02-23","cited_by_count":4,"area":"lr"},{"id":"2411.00387","title":"STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing","created":"2024-11-01","cited_by_count":3,"area":"lr"},{"id":"2509.23219","title":"WirelessMathLM: Teaching Mathematical Reasoning for LLMs in Wireless Communications with Reinforcement Learning","created":"2025-09-27","cited_by_count":3,"area":"lr"},{"id":"2604.14142","title":"From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space","created":"2026-04-15","cited_by_count":3,"area":"lr"},{"id":"2409.11074","title":"RoMath: A Mathematical Reasoning Benchmark in Romanian","created":"2024-09-17","cited_by_count":2,"area":"lr"},{"id":"2502.11573","title":"InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning","created":"2025-02-17","cited_by_count":2,"area":"lr"},{"id":"2510.25776","title":"StreetMath: Study of LLMs' Approximation Behaviors","created":"2025-10-27","cited_by_count":2,"area":"lr"},{"id":"2310.16713","title":"SkyMath: Technical Report","created":"2023-10-25","cited_by_count":1,"area":"lr"},{"id":"2409.09613","title":"Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora","created":"2024-09-15","cited_by_count":1,"area":"lr"},{"id":"2605.19723","title":"Mathematical Reasoning in Large Language Models: Benchmarks, Architectures, Evaluation, and Open Challenges","created":"2026-05-19","cited_by_count":1,"area":"lr"},{"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":"2601.19302","title":"Formula-One Prompting: A Composable Equation-First Prefix for Applied Mathematics","created":"2026-01-27","cited_by_count":0,"area":"lr"},{"id":"2607.08196","title":"A First-Principles Theory of Slow Thinking and Active Perception","created":"2026-07-09","cited_by_count":0,"area":"lr"},{"id":"2609.31947","title":"On-Policy Attention Linearization","created":"2026-09-25","cited_by_count":0,"area":"lr"},{"id":"2609.32791","title":"$T^5$: Twin-Critic Training for Token-Level Thoughts in Reinforcement Mid-Training","created":"2026-09-26","cited_by_count":0,"area":"lr"}],"next_cursor":null}