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
- 数学推理论文从 2023 年的 57 篇增长到 2026 年的 577 篇,三年间扩大到约 10 倍。
- NeurIPS 是发数学推理论文最多的会议,2023–2026 年共 469 篇,占四个会议总量的 43%。
- 交叉方向里涨得最快的是强化学习:同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 140 篇。
- 在「神经符号」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的可微推理是 2.5 倍,数学推理是 10 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 19 | 17 | 11 | 10 | 57 |
| 2024 | 52 | 34 | 39 | 12 | 137 |
| 2025 | 190 | 61 | 45 | 18 | 314 |
| 2026 | 208 | 175 | 113 | 81 | 577 |
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
- NeurIPS 2026A mathematical theory of balancing relational generalization and memorization
- ICML 2026ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark
- ICLR 2026AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive Reasoning
- CVPR 2026Affine Perspective-Three-Point Problem
- NeurIPS 2025Are Language Models Efficient Reasoners? A Perspective from Logic Programming
- ICML 2025Autoformulation of Mathematical Optimization Models Using LLMs
- ICLR 2025Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages
- CVPR 2025Bridging Viewpoint Gaps: Geometric Reasoning Boosts Semantic Correspondence
- NeurIPS 2024A Careful Examination of Large Language Model Performance on Grade School Arithmetic
- ICML 2024Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving
- ICLR 2024Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization
- CVPR 2024E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator
- NeurIPS 2023Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
- ICML 2023Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences
- ICLR 2023Differentiable Mathematical Programming for Object-Centric Representation Learning
- CVPR 2023Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices
- NeurIPS 2026A Mechanistic Analysis of Looped Reasoning Language Models
- ICML 2026Beyond Theorem Proving: Formulation, Framework and Benchmark for Formal Problem-Solving
- ICLR 2026CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving
- CVPR 2026Hilbert-Geo Solving Solid Geometric Problems by Neural-Symbolic Reasoning
全部数学推理论文
共 190 篇,第 1 / 4 页
- NeurIPS 20253D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes
- NeurIPS 2025A learnability analysis on neuro-symbolic learning
- NeurIPS 2025A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning
- NeurIPS 2025A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
- NeurIPS 2025Absolute Zero: Reinforced Self-play Reasoning with Zero Data
- NeurIPS 2025AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions
- NeurIPS 2025Accelerating RL for LLM Reasoning with Optimal Advantage Regression
- NeurIPS 2025AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
- NeurIPS 2025Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
- NeurIPS 2025Activation-Guided Consensus Merging for Large Language Models
- NeurIPS 2025Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization
- NeurIPS 2025AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking
- NeurIPS 2025Agentic RL Scaling Law: Spontaneous Code Execution for Mathematical Problem Solving
- NeurIPS 2025Anchored Diffusion Language Model
- NeurIPS 2025AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation
- NeurIPS 2025APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning
- NeurIPS 2025Are Language Models Efficient Reasoners? A Perspective from Logic Programming
- NeurIPS 2025AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
- NeurIPS 2025ARM: Adaptive Reasoning Model
- NeurIPS 2025AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science
- NeurIPS 2025Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities
- NeurIPS 2025Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models
- NeurIPS 2025AutoJudge: Judge Decoding Without Manual Annotation
- NeurIPS 2025AutoOpt: A Dataset and a Unified Framework for Automating Optimization Problem Solving
- NeurIPS 2025Bag of Tricks for Inference-time Computation of LLM Reasoning
- NeurIPS 2025Benchmarking Large Language Models with Integer Sequence Generation Tasks
- NeurIPS 2025Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges
- NeurIPS 2025Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations
- NeurIPS 2025Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
- NeurIPS 2025Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data
- NeurIPS 2025Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization
- NeurIPS 2025BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning
- NeurIPS 2025C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
- NeurIPS 2025Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?
- NeurIPS 2025Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning
- NeurIPS 2025Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration
- NeurIPS 2025Chain of Execution Supervision Promotes General Reasoning in Large Language Models
- NeurIPS 2025CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections
- NeurIPS 2025Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning Models
- NeurIPS 2025Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning
- NeurIPS 2025Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets
- NeurIPS 2025Compositional Neural Network Verification via Assume-Guarantee Reasoning
- NeurIPS 2025Compositional Reasoning with Transformers, RNNs, and Chain of Thought
- NeurIPS 2025Continuous Thought Machines
- NeurIPS 2025Contrastive Representations for Temporal Reasoning
- NeurIPS 2025Controlling Thinking Speed in Reasoning Models
- NeurIPS 2025Counterfactual reasoning: an analysis of in-context emergence
- NeurIPS 2025CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models
- NeurIPS 2025Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models
- NeurIPS 2025Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
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"}
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。