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 470 篇，第 1 / 10 页

1. CVPR 2023A Probabilistic Framework for Lifelong Test-Time Adaptation
2. CVPR 2023Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices
3. CVPR 2023ActMAD: Activation Matching To Align Distributions for Test-Time-Training
4. CVPR 2023ANetQA: A Large-Scale Benchmark for Fine-Grained Compositional Reasoning Over Untrimmed Videos
5. CVPR 2023ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
6. CVPR 2023Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval
7. CVPR 2023Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering
8. CVPR 2023Divide and Conquer: Answering Questions With Object Factorization and Compositional Reasoning
9. CVPR 2023Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection
10. CVPR 2023ECON: Explicit Clothed Humans Optimized via Normal Integration
11. CVPR 2023Feature Alignment and Uniformity for Test Time Adaptation
12. CVPR 2023FFCV: Accelerating Training by Removing Data Bottlenecks
13. CVPR 2023Improved Test-Time Adaptation for Domain Generalization
14. CVPR 2023K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
15. CVPR 2023KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation
16. CVPR 2023MagicPony: Learning Articulated 3D Animals in the Wild
17. CVPR 2023Neural Vector Fields: Implicit Representation by Explicit Learning
18. CVPR 2023Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
19. CVPR 2023Passive Micron-Scale Time-of-Flight With Sunlight Interferometry
20. CVPR 2023ReasonNet: End-to-End Driving With Temporal and Global Reasoning
21. CVPR 2023Robust Dynamic Radiance Fields
22. CVPR 2023Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
23. CVPR 2023Robust Test-Time Adaptation in Dynamic Scenarios
24. CVPR 2023SfM-TTR: Using Structure From Motion for Test-Time Refinement of Single-View Depth Networks
25. CVPR 2023Super-CLEVR: A Virtual Benchmark To Diagnose Domain Robustness in Visual Reasoning
26. CVPR 2023TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
27. CVPR 2023Test of Time: Instilling Video-Language Models With a Sense of Time
28. CVPR 2023TIPI: Test Time Adaptation With Transformation Invariance
29. CVPR 2023Train/Test-Time Adaptation With Retrieval
30. CVPR 2023TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
31. CVPR 2023Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge
32. CVPR 2023Video Test-Time Adaptation for Action Recognition
33. CVPR 2023Visual Programming: Compositional Visual Reasoning Without Training
34. ICLR 2023A Learning Based Hypothesis Test for Harmful Covariate Shift
35. ICLR 2023A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
36. ICLR 2023Automatic Chain of Thought Prompting in Large Language Models
37. ICLR 2023Can Neural Networks Learn Implicit Logic from Physical Reasoning?
38. ICLR 2023Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?
39. ICLR 2023Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
40. ICLR 2023Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models
41. ICLR 2023Complexity-Based Prompting for Multi-step Reasoning
42. ICLR 2023Decomposed Prompting: A Modular Approach for Solving Complex Tasks
43. ICLR 2023DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION
44. ICLR 2023Dual Algorithmic Reasoning
45. ICLR 2023Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
46. ICLR 2023Empowering Graph Representation Learning with Test-Time Graph Transformation
47. ICLR 2023Feature selection and low test error in shallow low-rotation ReLU networks
48. ICLR 2023GAMR: A Guided Attention Model for (visual) Reasoning
49. ICLR 2023Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
50. ICLR 2023Language models are multilingual chain-of-thought reasoners

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。