数学推理论文趋势 2023–2026

定理与解题

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,085 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

数学推理论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20231917111057
202452343912137
2025190614518314
202620817511381577

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部数学推理论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,085 篇，第 20 / 22 页

  1. ICML 2024GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model
  2. ICML 2024GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
  3. ICML 2024Graph2Tac: Online Representation Learning of Formal Math Concepts
  4. ICML 2024How Smooth Is Attention?
  5. ICML 2024Improving Factuality and Reasoning in Language Models through Multiagent Debate
  6. ICML 2024INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
  7. ICML 2024Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models
  8. ICML 2024Language Models with Conformal Factuality Guarantees
  9. ICML 2024Learning Iterative Reasoning through Energy Diffusion
  10. ICML 2024Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem
  11. ICML 2024MathScale: Scaling Instruction Tuning for Mathematical Reasoning
  12. ICML 2024MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
  13. ICML 2024Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving
  14. ICML 2024On a Combinatorial Problem Arising in Machine Teaching
  15. ICML 2024On the Hardness of Probabilistic Neurosymbolic Learning
  16. ICML 2024Partial Optimality in the Linear Ordering Problem
  17. ICML 2024Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  18. ICML 2024Premise Order Matters in Reasoning with Large Language Models
  19. ICML 2024Rethinking Transformers in Solving POMDPs
  20. ICML 2024SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
  21. ICML 2024Slot Abstractors: Toward Scalable Abstract Visual Reasoning
  22. ICML 2024Solving Poisson Equations using Neural Walk-on-Spheres
  23. ICML 2024Toward Adaptive Reasoning in Large Language Models with Thought Rollback
  24. ICML 2024Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
  25. ICML 2024TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks
  26. ICML 2024Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition
  27. NeurIPS 2024A Careful Examination of Large Language Model Performance on Grade School Arithmetic
  28. NeurIPS 2024A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
  29. NeurIPS 2024Abductive Reasoning in Logical Credal Networks
  30. NeurIPS 2024AlphaMath Almost Zero: Process Supervision without Process
  31. NeurIPS 2024Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency
  32. NeurIPS 2024AutoPSV: Automated Process-Supervised Verifier
  33. NeurIPS 2024Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
  34. NeurIPS 2024Calibrating Reasoning in Language Models with Internal Consistency
  35. NeurIPS 2024Can Language Models Learn to Skip Steps?
  36. NeurIPS 2024Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
  37. NeurIPS 2024Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
  38. NeurIPS 2024Chain-of-Thought Reasoning Without Prompting
  39. NeurIPS 2024ClevrSkills: Compositional Language And Visual Reasoning in Robotics
  40. NeurIPS 2024DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
  41. NeurIPS 2024Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle
  42. NeurIPS 2024Deep Equilibrium Algorithmic Reasoning
  43. NeurIPS 2024Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
  44. NeurIPS 2024DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
  45. NeurIPS 2024Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
  46. NeurIPS 2024Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning
  47. NeurIPS 2024Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning
  48. NeurIPS 2024Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads
  49. NeurIPS 2024Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers
  50. NeurIPS 2024How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查数学推理在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "math-reasoning"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇数学推理论文？
共 1,085 篇，按年份分别是 2023 年 57 篇、2024 年 137 篇、2025 年 314 篇、2026 年 577 篇。
NeurIPS 2026 有多少篇数学推理论文？
NeurIPS 2026 有 208 篇数学推理论文，上一届是 190 篇。
ICLR 2026 有多少篇数学推理论文？
ICLR 2026 有 175 篇数学推理论文，上一届是 61 篇。
ICML 2026 有多少篇数学推理论文？
ICML 2026 有 113 篇数学推理论文，上一届是 45 篇。
CVPR 2026 有多少篇数学推理论文？
CVPR 2026 有 81 篇数学推理论文，上一届是 18 篇。
哪个会议的数学推理论文最多？
NeurIPS，2023–2026 年共 469 篇。

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