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 1,085 篇,第 5 / 22 页
- ICLR 2026Reasoning Language Model Inference Serving Unveiled: An Empirical Study
- ICLR 2026Reasoning Models Can be Accurately Pruned Via Chain-of-Thought Reconstruction
- ICLR 2026Reasoning Scaffolding: Distilling the Flow of Thought from LLMs
- ICLR 2026ReForm: Reflective Autoformalization with Prospective Bounded Sequence Optimization
- ICLR 2026Reinforced Latent Reasoning for LLM-based Recommendation
- ICLR 2026Reinforcement Mid-Training
- ICLR 2026Reliable Fine-Grained Evaluation of Natural Language Math Proofs
- ICLR 2026Rethinking LLM Reasoning: From Explicit Trajectories to Latent Representations
- ICLR 2026Rewriting Pre-Training Data Boosts LLM Performance in Math and Code
- ICLR 2026RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning Models
- ICLR 2026RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems
- ICLR 2026RLP: Reinforcement as a Pretraining Objective
- ICLR 2026RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
- ICLR 2026RM-R1: Reward Modeling as Reasoning
- ICLR 2026Sample Smart, Not Hard: Correctness-First Decoding for Better Reasoning in LLMs
- ICLR 2026Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning
- ICLR 2026Scalable Chain of Thoughts via Elastic Reasoning
- ICLR 2026Scheduling Your LLM Reinforcement Learning with Reasoning Trees
- ICLR 2026Segment-Level Attribution for Selective Learning of Long Reasoning Traces
- ICLR 2026Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens
- ICLR 2026Self-Jailbreaking: Language Models Can Reason Themselves Out of Safety Alignment After Benign Reasoning Training
- ICLR 2026Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning
- ICLR 2026SIM-CoT: Supervised Implicit Chain-of-Thought
- ICLR 2026SLM-MUX: Orchestrating Small Language Models for Reasoning
- ICLR 2026Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
- ICLR 2026Smarter Not Harder: Generative Process Evaluation with Intrinsic-Signal Driving and Ability‑Adaptive Reward Shaping
- ICLR 2026Soft Tokens, Hard Truths
- ICLR 2026Solving the 2-norm k-hyperplane clustering problem via multi-norm formulations
- ICLR 2026Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning
- ICLR 2026STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models
- ICLR 2026Strategic Obfuscation of Deceptive Reasoning in Language Models
- ICLR 2026StreamingThinker: Large Language Models Can Think While Reading
- ICLR 2026SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs
- ICLR 2026T1: Tool-integrated Verification for Test-time Compute Scaling in Small Language Models
- ICLR 2026TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
- ICLR 2026The First Impression Problem: Internal Bias Triggers Overthinking in Reasoning Models
- ICLR 2026The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical Proofs
- ICLR 2026THE PATH OF LEAST RESISTANCE: GUIDING LLM REASONING TRAJECTORIES WITH PREFIX CONSENSUS
- ICLR 2026Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning
- ICLR 2026Thinking on the Fly: Test-Time Reasoning Enhancement via Latent Thought Policy Optimization
- ICLR 2026ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning
- ICLR 2026Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning
- ICLR 2026TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
- ICLR 2026Towards Quantization-Aware Training for Ultra-Low-Bit Reasoning LLMs
- ICLR 2026Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention
- ICLR 2026Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning
- ICLR 2026Training Large Language Models To Reason In Parallel With Global Forking Tokens
- ICLR 2026Training Large Reasoning Models Efficiently via Progressive Thought Encoding
- ICLR 2026TRIM: Hybrid Inference via Targeted Stepwise Routing in Multi-Step Reasoning Tasks
- ICLR 2026VERINA: Benchmarking Verifiable Code Generation
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。