推理模型论文趋势 2023–2026

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。

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 57 篇，第 1 / 2 页

1. ICLR 2023A Learning Based Hypothesis Test for Harmful Covariate Shift
2. ICLR 2023A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
3. ICLR 2023Automatic Chain of Thought Prompting in Large Language Models
4. ICLR 2023Can Neural Networks Learn Implicit Logic from Physical Reasoning?
5. ICLR 2023Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?
6. ICLR 2023Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
7. ICLR 2023Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models
8. ICLR 2023Complexity-Based Prompting for Multi-step Reasoning
9. ICLR 2023Decomposed Prompting: A Modular Approach for Solving Complex Tasks
10. ICLR 2023DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION
11. ICLR 2023Dual Algorithmic Reasoning
12. ICLR 2023Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
13. ICLR 2023Empowering Graph Representation Learning with Test-Time Graph Transformation
14. ICLR 2023Feature selection and low test error in shallow low-rotation ReLU networks
15. ICLR 2023GAMR: A Guided Attention Model for (visual) Reasoning
16. ICLR 2023Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
17. ICLR 2023Language models are multilingual chain-of-thought reasoners
18. ICLR 2023Large Language Models are Human-Level Prompt Engineers
19. ICLR 2023Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
20. ICLR 2023Learning to Extrapolate: A Transductive Approach
21. ICLR 2023Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
22. ICLR 2023Learning where and when to reason in neuro-symbolic inference
23. ICLR 2023Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
24. ICLR 2023LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
25. ICLR 2023Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
26. ICLR 2023M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
27. ICLR 2023MECTA: Memory-Economic Continual Test-Time Model Adaptation
28. ICLR 2023Mind's Eye: Grounded Language Model Reasoning through Simulation
29. ICLR 2023Multimodal Analogical Reasoning over Knowledge Graphs
30. ICLR 2023Neural Compositional Rule Learning for Knowledge Graph Reasoning
31. ICLR 2023NTK-SAP: Improving neural network pruning by aligning training dynamics
32. ICLR 2023On Achieving Optimal Adversarial Test Error
33. ICLR 2023PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
34. ICLR 2023ReAct: Synergizing Reasoning and Acting in Language Models
35. ICLR 2023Relational Attention: Generalizing Transformers for Graph-Structured Tasks
36. ICLR 2023Rethinking skip connection model as a learnable Markov chain
37. ICLR 2023ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
38. ICLR 2023Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
39. ICLR 2023Self-Consistency Improves Chain of Thought Reasoning in Language Models
40. ICLR 2023Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
41. ICLR 2023SQA3D: Situated Question Answering in 3D Scenes
42. ICLR 2023STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK
43. ICLR 2023TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
44. ICLR 2023Temporal Coherent Test Time Optimization for Robust Video Classification
45. ICLR 2023Test-Time Adaptation via Self-Training with Nearest Neighbor Information
46. ICLR 2023Test-Time Robust Personalization for Federated Learning
47. ICLR 2023Towards Inferential Reproducibility of Machine Learning Research
48. ICLR 2023Towards Stable Test-time Adaptation in Dynamic Wild World
49. ICLR 2023Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
50. ICLR 2023TrojText: Test-time Invisible Textual Trojan Insertion

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。