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 577 篇,第 10 / 12 页
- NeurIPS 2026How do Small Transformer Models Learn Hard Math Tasks?
- NeurIPS 2026How does RL Post-training Induce Skill Composition? A Case Study on Countdown
- NeurIPS 2026Identified-Set Geometry of Distributional Model Extraction under Top-K Censored API Access
- NeurIPS 2026INFUSER: Influence-Guided Self-Evolution Improves Reasoning
- NeurIPS 2026Interactive Combinatorial Reinforcement Learning for Knowledge Graph Reasoning
- NeurIPS 2026Iterative Nonlinear Computation Underlying Abstract Reasoning
- NeurIPS 2026Language Models Need Sleep
- NeurIPS 2026Latent Spatial Reasoning: Building Innate 3D Awareness via Latent-Space Distillation
- NeurIPS 2026LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model
- NeurIPS 2026LeAct: Learning to Reason from Expert Actions
- NeurIPS 2026LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models
- NeurIPS 2026Learning to Complete Extremal Mathematical Structures
- NeurIPS 2026Learning When to Think: Dual-Reference Offline Optimization for Adaptive VLM Reasoning
- NeurIPS 2026LLM Agents Already Know When to Call Tools - Even Without Reasoning
- NeurIPS 2026LLMs Show No Signs Of Individuated Metacognition
- NeurIPS 2026Look Before You Reason: Implicit Visual Thinking for Efficient Multimodal Reasoning
- NeurIPS 2026Low-Rank Hierarchical Merging for Efficient Long-to-Short Reasoning
- NeurIPS 2026MammoGPS: A Benchmark for Visual Grounding, Perception, and Spatial Reasoning in Mammography
- NeurIPS 2026Masked Diffusion Language Agents for Tool-Integrated Chemical Reasoning
- NeurIPS 2026MCPHallu: Benchmarking Reasoning, Execution, and Memory Hallucinations in MCP Agents
- NeurIPS 2026Measuring Weak-to-Strong Legibility of Reasoning Models
- NeurIPS 2026MedZERO: Self-Evolving Agents for Open-Ended Medical Reasoning Through Controlled Knowledge Accumulation
- NeurIPS 2026MemPilot: Learning Transferable Latent Memory Mechanisms for LLM Reasoning
- NeurIPS 2026Mental Imagery That Matters: Curing Latent Collapse in Multimodal Reasoning
- NeurIPS 2026MindLoom: Composing Thought Modes for Frontier-Level Reasoning Data Synthesis
- NeurIPS 2026MinPath: Learning Efficient LLM Reasoning via Minimal Dependency Paths
- NeurIPS 2026MIRA: Reinforcing Multimodal Reasoning via Deceptive Contextual Augmentation
- NeurIPS 2026MIRAGE: Mobile Agents with Implicit Reasoning and Generative World Models
- NeurIPS 2026Mitigating Factual Hallucination in Large Reasoning Models via Mixed-Mode Advantage Regularization
- NeurIPS 2026Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring
- NeurIPS 2026MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
- NeurIPS 2026MotionHalluc: Diagnosing Kinematic Hallucinations in Fine-Grained Motion Reasoning
- NeurIPS 2026MUX: Continuous Reasoning via Multiplexed Tokens
- NeurIPS 2026Natural Synthesis: Outperforming Reactive Synthesis Tools with Large Reasoning Models
- NeurIPS 2026On the Token Value Inequality in Efficient Reasoning
- NeurIPS 2026OS-Pruner: Pruning Chains-of-Thought of Reasoning Models via Optimal Stopping
- NeurIPS 2026Outcome-Based RL Provably Leads Transformers to Reason, but Only With the Right Data
- NeurIPS 2026PAC Reasoning: Controlling the Performance Loss for Efficient Reasoning
- NeurIPS 2026Pause and Reflect: Conformal Aggregation for Chain-of-Thought Reasoning
- NeurIPS 2026Perceive, Interact, Reason: Building Tool-Augmented Visual Agents for Spatial Reasoning
- NeurIPS 2026PhysGraphNet: Physical-State Scene Graphs via Latent Graph Reasoning and Counterfactual Supervision
- NeurIPS 2026PhysVista: Benchmarking Physical Intelligence in VLMs via a Perception-Reasoning-Assessment Loop
- NeurIPS 2026Plausibility Is Not Prediction: Contrastive Evidence for LLM-Based Cellular Perturbation Reasoning
- NeurIPS 2026Position: Robust Reasoning Requires Internal Time, Not Scale Alone
- NeurIPS 2026Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning
- NeurIPS 2026Preserving Exploration for LLM Reasoning via Mean Order-Statistic Alignment
- NeurIPS 2026Probabilistic Recursive Reasoning
- NeurIPS 2026Probing the Trajectories of Reasoning Traces in Large Language Models
- NeurIPS 2026Problem-Dependent Dynamic Regret over a Predictor Class with One-Gradient Feedback
- NeurIPS 2026Programmatic Reasoning with Structural Schema: A Unified Framework for Multi-Table Inference
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。