推理模型论文趋势 2023–2026
链式推理、测试时计算与显式推理能力
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 3,512 篇被归入该主题的论文。
主要结论
- 推理模型论文从 2023 年的 470 篇增长到 2026 年的 1,799 篇，三年间扩大到约 3.8 倍。
- NeurIPS 是发推理模型论文最多的会议，2023–2026 年共 1,253 篇，占四个会议总量的 36%。
- 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 9 篇增至 2026 年的 437 篇。
- 在「前沿系统」的 4 个主题里，它的 2026 年论文数排第 3；同组增长最快的AI 智能体是 12 倍，推理模型是 3.8 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 271 | 57 | 109 | 33 | 470 |
| 2024 | 121 | 84 | 63 | 43 | 311 |
| 2025 | 500 | 203 | 159 | 70 | 932 |
| 2026 | 361 | 652 | 582 | 204 | 1,799 |
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 Mechanistic Analysis of Looped Reasoning Language Models
- ICML 2026A Formal Comparison Between Chain of Thought and Latent Thought
- ICLR 2026A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models
- CVPR 2026Asking like Socrates Socrates helps VLMs understand remote sensing images
- NeurIPS 2025A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1
- ICML 2025A Reasoning-Based Approach to Cryptic Crossword Clue Solving
- ICLR 2025A Formal Framework for Understanding Length Generalization in Transformers
- CVPR 2025Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought
- NeurIPS 2024Are Large Language Models Good Statisticians?
- ICML 2024Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
- ICLR 2024Amortizing intractable inference in large language models
- CVPR 2024Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts
- NeurIPS 2023A benchmark of categorical encoders for binary classification
- ICML 2023Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
- ICLR 2023Automatic Chain of Thought Prompting in Large Language Models
- CVPR 2023ActMAD: Activation Matching To Align Distributions for Test-Time-Training
- NeurIPS 2026A Solvable Model of Chain-of-Thought in In-Context Learning
- ICML 2026A Narrowing Geometry in Contaminated Reasoning
- ICLR 2026A State-Transition Framework for Efficient LLM Reasoning
- CVPR 2026Beyond Weak Supervision MLLMs-Guided Graded Knowledge Distillation for Unsupervised Camouflaged
全部推理模型论文
共 913 篇，第 18 / 19 页
- ICML 2023Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
- ICML 2023Interpretable Neural-Symbolic Concept Reasoning
- ICML 2023Iterative Approximate Cross-Validation
- ICML 2023Large Language Models Can Be Easily Distracted by Irrelevant Context
- ICML 2023Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic
- ICML 2023Learning Hidden Markov Models When the Locations of Missing Observations are Unknown
- ICML 2023Leveraging Proxy of Training Data for Test-Time Adaptation
- ICML 2023LookupFFN: Making Transformers Compute-lite for CPU inference
- ICML 2023Looped Transformers as Programmable Computers
- ICML 2023Mimetic Initialization of Self-Attention Layers
- ICML 2023Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
- ICML 2023Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
- ICML 2023Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
- ICML 2023Neural Algorithmic Reasoning with Causal Regularisation
- ICML 2023Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
- ICML 2023Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests
- ICML 2023Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
- ICML 2023Nonparametric Density Estimation under Distribution Drift
- ICML 2023ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
- ICML 2023On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
- ICML 2023On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network
- ICML 2023On Investigating the Conservative Property of Score-Based Generative Models
- ICML 2023On Pitfalls of Test-Time Adaptation
- ICML 2023On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
- ICML 2023On the Convergence of Gradient Flow on Multi-layer Linear Models
- ICML 2023On the Impact of Algorithmic Recourse on Social Segregation
- ICML 2023On the Training Instability of Shuffling SGD with Batch Normalization
- ICML 2023One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding
- ICML 2023Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
- ICML 2023Out-of-Domain Robustness via Targeted Augmentations
- ICML 2023Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
- ICML 2023PAC Prediction Sets for Large Language Models of Code
- ICML 2023PAL: Program-aided Language Models
- ICML 2023Phase Transitions in the Detection of Correlated Databases
- ICML 2023Poisoning Language Models During Instruction Tuning
- ICML 2023Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
- ICML 2023Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
- ICML 2023Representer Point Selection for Explaining Regularized High-dimensional Models
- ICML 2023Robust Budget Pacing with a Single Sample
- ICML 2023Robust Explanation for Free or At the Cost of Faithfulness
- ICML 2023Secure Federated Correlation Test and Entropy Estimation
- ICML 2023Settling the Reward Hypothesis
- ICML 2023SinFusion: Training Diffusion Models on a Single Image or Video
- ICML 2023Specializing Smaller Language Models towards Multi-Step Reasoning
- ICML 2023Statistical Learning under Heterogenous Distribution Shift
- ICML 2023Structure-informed Language Models Are Protein Designers
- ICML 2023Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
- ICML 2023TAN Without a Burn: Scaling Laws of DP-SGD
- ICML 2023Test-time Adaptation with Slot-Centric Models
- ICML 2023Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
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 查推理模型在 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": "reasoning-models"}
常见问题
- 2023–2026 年四大会议一共有多少篇推理模型论文？
- 共 3,512 篇，按年份分别是 2023 年 470 篇、2024 年 311 篇、2025 年 932 篇、2026 年 1,799 篇。
- NeurIPS 2026 有多少篇推理模型论文？
- NeurIPS 2026 有 361 篇推理模型论文，上一届是 500 篇。
- ICLR 2026 有多少篇推理模型论文？
- ICLR 2026 有 652 篇推理模型论文，上一届是 203 篇。
- ICML 2026 有多少篇推理模型论文？
- ICML 2026 有 582 篇推理模型论文，上一届是 159 篇。
- CVPR 2026 有多少篇推理模型论文？
- CVPR 2026 有 204 篇推理模型论文，上一届是 70 篇。
- 哪个会议的推理模型论文最多？
- NeurIPS，2023–2026 年共 1,253 篇。