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 21 / 22 页
- NeurIPS 2024Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing
- NeurIPS 2024Interpretable Concept-Based Memory Reasoning
- NeurIPS 2024JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
- NeurIPS 2024Latent Neural Operator for Solving Forward and Inverse PDE Problems
- NeurIPS 2024Lean Workbook: A large-scale Lean problem set formalized from natural language math problems
- NeurIPS 2024MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
- NeurIPS 2024MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning
- NeurIPS 2024MathPile: A Billion-Token-Scale Pretraining Corpus for Math
- NeurIPS 2024Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
- NeurIPS 2024Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset
- NeurIPS 2024Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
- NeurIPS 2024MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages
- NeurIPS 2024MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs
- NeurIPS 2024Neuro-Symbolic Data Generation for Math Reasoning
- NeurIPS 2024On the Inductive Bias of Stacking Towards Improving Reasoning
- NeurIPS 2024Open-Book Neural Algorithmic Reasoning
- NeurIPS 2024OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
- NeurIPS 2024Proving Olympiad Algebraic Inequalities without Human Demonstrations
- NeurIPS 2024PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition
- NeurIPS 2024PUZZLES: A Benchmark for Neural Algorithmic Reasoning
- NeurIPS 2024RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
- NeurIPS 2024SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models
- NeurIPS 2024SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures
- NeurIPS 2024Solving Inverse Problems via Diffusion Optimal Control
- NeurIPS 2024ST$_k$: A Scalable Module for Solving Top-k Problems
- NeurIPS 2024StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving
- NeurIPS 2024Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
- NeurIPS 2024Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought
- CVPR 2023Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices
- CVPR 2023ANetQA: A Large-Scale Benchmark for Fine-Grained Compositional Reasoning Over Untrimmed Videos
- CVPR 2023DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
- CVPR 2023Divide and Conquer: Answering Questions With Object Factorization and Compositional Reasoning
- CVPR 2023Revisiting the P3P Problem
- CVPR 2023Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models
- CVPR 2023Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective
- CVPR 2023Solving Relaxations of MAP-MRF Problems: Combinatorial In-Face Frank-Wolfe Directions
- CVPR 2023Super-CLEVR: A Virtual Benchmark To Diagnose Domain Robustness in Visual Reasoning
- CVPR 2023Visual Programming: Compositional Visual Reasoning Without Training
- ICLR 2023A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
- ICLR 2023A Unified Algebraic Perspective on Lipschitz Neural Networks
- ICLR 2023Complexity-Based Prompting for Multi-step Reasoning
- ICLR 2023Differentiable Mathematical Programming for Object-Centric Representation Learning
- ICLR 2023Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
- ICLR 2023Dual Algorithmic Reasoning
- ICLR 2023Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
- ICLR 2023Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
- ICLR 2023Language models are multilingual chain-of-thought reasoners
- ICLR 2023Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
- ICLR 2023Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
- ICLR 2023Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
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。