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 203 篇，第 1 / 5 页

1. ICLR 2025A Conditional Independence Test in the Presence of Discretization
2. ICLR 2025A Formal Framework for Understanding Length Generalization in Transformers
3. ICLR 2025ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints
4. ICLR 2025Adaptive Energy Alignment for Accelerating Test-Time Adaptation
5. ICLR 2025Addressing Label Shift in Distributed Learning via Entropy Regularization
6. ICLR 2025Advancing LLM Reasoning Generalists with Preference Trees
7. ICLR 2025AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation
8. ICLR 2025Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation
9. ICLR 2025Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
10. ICLR 2025Artificial Kuramoto Oscillatory Neurons
11. ICLR 2025Attention as a Hypernetwork
12. ICLR 2025Automated Design of Agentic Systems
13. ICLR 2025Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
14. ICLR 2025Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
15. ICLR 2025B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
16. ICLR 2025Better Instruction-Following Through Minimum Bayes Risk
17. ICLR 2025Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
18. ICLR 2025Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
19. ICLR 2025BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
20. ICLR 2025BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
21. ICLR 2025BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
22. ICLR 2025Building Math Agents with Multi-Turn Iterative Preference Learning
23. ICLR 2025Can LLMs Solve Longer Math Word Problems Better?
24. ICLR 2025Causal Identification for Complex Functional Longitudinal Studies
25. ICLR 2025Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
26. ICLR 2025Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
27. ICLR 2025Chain-of-region: Visual Language Models Need Details for Diagram Analysis
28. ICLR 2025Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable
29. ICLR 2025ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
30. ICLR 2025ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
31. ICLR 2025CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
32. ICLR 2025ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning
33. ICLR 2025CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
34. ICLR 2025CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning
35. ICLR 2025CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning
36. ICLR 2025Combining Induction and Transduction for Abstract Reasoning
37. ICLR 2025COME: Test-time Adaption by Conservatively Minimizing Entropy
38. ICLR 2025Competing Large Language Models in Multi-Agent Gaming Environments
39. ICLR 2025Conformal Language Model Reasoning with Coherent Factuality
40. ICLR 2025Correlation and Navigation in the Vocabulary Key Representation Space of Language Models
41. ICLR 2025CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference
42. ICLR 2025Counterfactual Realizability
43. ICLR 2025CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
44. ICLR 2025DeLLMa: Decision Making Under Uncertainty with Large Language Models
45. ICLR 2025DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References
46. ICLR 2025Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers
47. ICLR 2025Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning
48. ICLR 2025Do Large Language Models Truly Understand Geometric Structures?
49. ICLR 2025Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference under Ambiguities
50. ICLR 2025Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language 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。