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 469 篇,第 4 / 10 页
- NeurIPS 2026Scaling Causal Reasoning with Increasingly Complex Causal Simulators
- NeurIPS 2026Seeing or Rationalizing? Scene-Evidence-Guided Chain-of-Thought for Faithful 3D Multimodal Reasoning
- NeurIPS 2026Seirênes: Adversarial Self-Play with Evolving Distractions for LLM Reasoning
- NeurIPS 2026Self-Compacting Language Model Agents
- NeurIPS 2026Semantic Search over 9 Million Mathematical Theorems
- NeurIPS 2026SFT-then-RL Outperforms Mixed-Policy Methods for LLM Reasoning
- NeurIPS 2026SH$^2$: A Mathematician-Curated benchmark for Assessing Research-level Math Capabilities of LLMs
- NeurIPS 2026Simulating Students or Sycophantic Problem Solving? On Misconception Faithfulness of LLM Simulators
- NeurIPS 2026Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots
- NeurIPS 2026SoDeArena: A Socially-Situated Reasoning Benchmark for Large Language Models
- NeurIPS 2026Solving Every Step Is Not Enough: Milestone Oracles Reveal a Composition Gap in LLM Math Reasoning
- NeurIPS 2026Sparse Attention as a Range Searching Problem: Towards an Inference-Efficient Index for KV Cache
- NeurIPS 2026Sparse Expansion Utility: Identifying and Routing to Pivotal Steps in LLM Reasoning Chains
- NeurIPS 2026SphMind: Towards Robust, Training-Free VLM-based Spatial Reasoning with a 360 Camera
- NeurIPS 2026Stability in Multi-Step Reasoning via Jacobian-based Error Accumulation Analysis
- NeurIPS 2026Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR
- NeurIPS 2026STAR-Math: Multi-Agent Mathematical Reasoning under Persistent Meta-Strategic Supervision
- NeurIPS 2026State of Thought Enables Endogenous Reasoning
- NeurIPS 2026StateTree: Enhancing Long-term Dialogue Reasoning via Reinforcement Learning
- NeurIPS 2026Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces
- NeurIPS 2026Step-wise Rubric Rewards for LLM Reasoning
- NeurIPS 2026Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning
- NeurIPS 2026Stop or Restart? Principled Inference Control for Large Reasoning Models via the Pandora's Box
- NeurIPS 2026Strategist: Designing Agentic Reasoning at Scale
- NeurIPS 2026STRIDE: Learnable Stepwise Language Feedback for LLM Reasoning
- NeurIPS 2026Structural Rationale Distillation via Reasoning Space Compression
- NeurIPS 2026TargetSage: Identifying Therapeutic Target Genes with Interpretable and Robust LLM Reasoning
- NeurIPS 2026TARP: Trace-Anchored Regularization Prior for Retaining Stepwise Reasoning
- NeurIPS 2026TaskGround: Structured Executable Task Inference for Full-Scene Household Reasoning
- NeurIPS 2026Teach-to-Reason: Competition-Guided Reasoning with a Self-Improving Teacher
- NeurIPS 2026TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning
- NeurIPS 2026Test-Time Learning with an Evolving Library
- NeurIPS 2026The Capability Frontier of GRPO
- NeurIPS 2026The Era of Agentic Organization: Learning to Organize with Language Models
- NeurIPS 2026The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models
- NeurIPS 2026They Can See It but not Say It: Iterative Self Knowledge Re-expression in Visual Reasoning Relative Pose Identification
- NeurIPS 2026TIGER: Bridging the Multimodal Reasoning-Access Gap via Modality Counterfactuals
- NeurIPS 2026Time to Pay Attention! Understanding High Complexity Corpus Reasoning Tasks
- NeurIPS 2026Train at the Moving Edge: Rollout-Efficient RL for Large Reasoning Models
- NeurIPS 2026Training with Harnesses: On-Policy Harness Self-Distillation for Complex Reasoning
- NeurIPS 2026Training-Free Dynamic Upcycling of Expert Language Models
- NeurIPS 2026Treat Bias as Noise: Training Bias-Robust LLM Reasoning via Reinforcement Learning
- NeurIPS 2026Triggering Generalist Reasoning via Predictive Uncertainty for Dual-System VLA
- NeurIPS 2026TSQAgent: Rating Time Series Data Quality via Dedicated Agentic Reasoning
- NeurIPS 2026Understanding the Out-of-Distribution Generalization of Chain-of-Thought Reasoning in LLMs
- NeurIPS 2026Unifying Reasoning and Planning through Energy Minimization
- NeurIPS 2026UniRAP: Towards Unified Part-level Physical Affordance Reasoning and Actionable Perception
- NeurIPS 2026Value-Aware Stochastic KV Cache Eviction for Reasoning Models
- NeurIPS 2026Verifiable Environments Are LEGO Bricks: Recursive Composition for Reasoning Generalization
- NeurIPS 2026Verifier-Backed Hard Problem Generation for Mathematical Reasoning
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。