Key papers

• rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking (2025)
  Xinyu Guan et al.
  6.06
• UI-TARS: Pioneering Automated GUI Interaction with Native Agents (2025)
  Yujia Qin et al.
  5.13
• GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models (2025)
  GLM-4. 5 Team et al.
  5.10
• Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility (2026)
  Fan Li et al.
  5.01
• Domyn-Small: A European 10B Reasoning Language Model (2026)
  Simone Angarano et al.
  5.01
• THOR: A Theta-Gamma Hierarchical Oscillatory Reasoning Framework for Multi-hop QA (2026)
  Ziyang Ling et al.
  5.01
• The Weight of Silence: A Causal Case for Weights Over the Scratchpad in Latent Chess Reasoning (2026)
  Ishan S. Kshirsagar
  4.39
• Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models (2025)
  Sonam Gupta et al.
  4.25
• BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models (2025)
  Xu Huang et al.
  2.87
• WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging (2025)
  Ahmed Elhady et al.
  2.87
• Visually Interpretable Subtask Reasoning for Visual Question Answering (2025)
  Yu Cheng et al.
  2.87
• Multimodal Continuous Reasoning via Asymmetric Mutual Variational Learning (2026)
  Shijie Li et al.
  2.00
• TREK: Distill to Explore, Reinforce to Refine (2026)
  Yuanda Xu et al.
  2.00
• From Foundation to Application: Improving VLA Models in Practice (2026)
  Wei Wu et al.
  2.00
• EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs (2026)
  Jewon Yeom et al.
  1.94
• CodePercept: Code-Grounded Visual STEM Perception for MLLMs (2026)
  Tongkun Guan et al.
  1.94
• s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMs (2026)
  Balaji Rao et al.
  1.94
• Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models (2026)
  Aswin RRV et al.
  1.89
• Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds (2026)
  Prateek Biswas et al.
  1.89
• Recursive Language Models Meet Uncertainty: The Surprising Effectiveness of Self-Reflective Program Search for Long Context (2026)
  Keivan Alizadeh et al.
  1.78
• Favia: Forensic Agent for Vulnerability-fix Identification and Analysis (2026)
  André Storhaug et al.
  1.72
• Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts (2026)
  Chen Yang et al.
  1.72
• Program of Thoughts for Financial Reasoning: Leveraging Dynamic In-Context Examples and Generative Retrieval (2025)
  Subhendu Khatuya et al.
  1.50
• Schema-R1: A reasoning training approach for schema linking in Text-to-SQL Task (2025)
  Wuzhenghong Wen et al.
  1.28
• Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems (2025)
  Shaokun Zhang et al.
  1.28
• Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning (2025)
  Junhong Lin et al.
  1.28
• SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity (2025)
  Samir Khaki et al.
  1.28
• Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning (2025)
  Yu Li et al.
  1.28
• Visual Programmability: A Guide for Code-as-Thought in Chart Understanding (2025)
  Bohao Tang et al.
  1.28
• IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video? (2025)
  Yang Chen et al.
  1.28
• DeepPrune: Parallel Scaling without Inter-trace Redundancy (2025)
  Shangqing Tu et al.
  1.28
• Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling (2025)
  Hao Mark Chen et al.
  1.22
• ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning (2025)
  Jiaan Wang et al.
  1.22
• Learning from Failures in Multi-Attempt Reinforcement Learning (2025)
  Stephen Chung et al.
  1.11
• EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning (2025)
  Xiaoqian Liu et al.
  1.06
• ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario (2025)
  Lucen Zhong et al.
  1.00
• PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population (2022)
  Tianqing Fang et al.
  —
• Exploring Chain-of-Thought Style Prompting for Text-to-SQL (2023)
  Chang-You Tai et al.
  —
• Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning (2023)
  Dingzirui Wang et al.
  —
• Orca-Math: Unlocking the potential of SLMs in Grade School Math (2024)
  Arindam Mitra et al.
  —
• Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments (2024)
  Sitao Cheng et al.
  —
• TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning (2024)
  Xinyuan Lu et al.
  —
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (2024)
  Zhihong Shao et al.
  —
• Advancing LLM Reasoning Generalists with Preference Trees (2024)
  Lifan Yuan et al.
  —
• Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning (2024)
  Joongwon Kim et al.
  —
• Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models (2024)
  Wenhao Shi et al.
  —
• SciCode: A Research Coding Benchmark Curated by Scientists (2024)
  Minyang Tian et al.
  —
• Horizon-Length Prediction: Advancing Fill-in-the-Middle Capabilities for Code Generation with Lookahead Planning (2024)
  Yifeng Ding et al.
  —
• AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling (2024)
  Zihan Liu et al.
  —