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

每年论文数

各会议论文数

按年份和会议统计

推理模型论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20232715710933470
2024121846343311
202550020315970932
20263616525822041,799

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

全部推理模型论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 3,512 篇，第 64 / 71 页

  1. ICML 2023Continuously Parameterized Mixture Models
  2. ICML 2023Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction
  3. ICML 2023Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
  4. ICML 2023Counterfactual Identifiability of Bijective Causal Models
  5. ICML 2023Data Feedback Loops: Model-driven Amplification of Dataset Biases
  6. ICML 2023Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
  7. ICML 2023Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
  8. ICML 2023Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
  9. ICML 2023Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
  10. ICML 2023Do Perceptually Aligned Gradients Imply Robustness?
  11. ICML 2023Emergent Agentic Transformer from Chain of Hindsight Experience
  12. ICML 2023Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions
  13. ICML 2023Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
  14. ICML 2023Exploiting locality in high-dimensional Factorial hidden Markov models
  15. ICML 2023Fast Rates in Time-Varying Strongly Monotone Games
  16. ICML 2023Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
  17. ICML 2023Formalizing Preferences Over Runtime Distributions
  18. ICML 2023Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients
  19. ICML 2023Generalization on the Unseen, Logic Reasoning and Degree Curriculum
  20. ICML 2023Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization
  21. ICML 2023Graphically Structured Diffusion Models
  22. ICML 2023High Fidelity Image Counterfactuals with Probabilistic Causal Models
  23. ICML 2023Hyena Hierarchy: Towards Larger Convolutional Language Models
  24. ICML 2023Identifiability of Label Noise Transition Matrix
  25. ICML 2023Implicit Neural Spatial Representations for Time-dependent PDEs
  26. ICML 2023Inferring Relational Potentials in Interacting Systems
  27. ICML 2023Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning
  28. ICML 2023Input Perturbation Reduces Exposure Bias in Diffusion Models
  29. ICML 2023Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
  30. ICML 2023Interpretable Neural-Symbolic Concept Reasoning
  31. ICML 2023Iterative Approximate Cross-Validation
  32. ICML 2023Large Language Models Can Be Easily Distracted by Irrelevant Context
  33. ICML 2023Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic
  34. ICML 2023Learning Hidden Markov Models When the Locations of Missing Observations are Unknown
  35. ICML 2023Leveraging Proxy of Training Data for Test-Time Adaptation
  36. ICML 2023LookupFFN: Making Transformers Compute-lite for CPU inference
  37. ICML 2023Looped Transformers as Programmable Computers
  38. ICML 2023Mimetic Initialization of Self-Attention Layers
  39. ICML 2023Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
  40. ICML 2023Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
  41. ICML 2023Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
  42. ICML 2023Neural Algorithmic Reasoning with Causal Regularisation
  43. ICML 2023Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
  44. ICML 2023Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests
  45. ICML 2023Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
  46. ICML 2023Nonparametric Density Estimation under Distribution Drift
  47. ICML 2023ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
  48. ICML 2023On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
  49. ICML 2023On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network
  50. ICML 2023On Investigating the Conservative Property of Score-Based Generative 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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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