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 121 篇，第 1 / 3 页

1. NeurIPS 2024A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts
2. NeurIPS 2024A Careful Examination of Large Language Model Performance on Grade School Arithmetic
3. NeurIPS 2024A Hitchhiker's Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning
4. NeurIPS 2024A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
5. NeurIPS 2024A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
6. NeurIPS 2024Are Large Language Models Good Statisticians?
7. NeurIPS 2024AutoPSV: Automated Process-Supervised Verifier
8. NeurIPS 2024BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
9. NeurIPS 2024Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
10. NeurIPS 2024Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
11. NeurIPS 2024Calibrating Reasoning in Language Models with Internal Consistency
12. NeurIPS 2024Can Language Models Learn to Skip Steps?
13. NeurIPS 2024Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
14. NeurIPS 2024Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
15. NeurIPS 2024Can large language models explore in-context?
16. NeurIPS 2024Causal language modeling can elicit search and reasoning capabilities on logic puzzles
17. NeurIPS 2024CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
18. NeurIPS 2024Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
19. NeurIPS 2024Chain of Thoughtlessness? An Analysis of CoT in Planning
20. NeurIPS 2024Chain-of-Thought Reasoning Without Prompting
21. NeurIPS 2024Chain-of-Thought Unfaithfulness as Disguised Accuracy
22. NeurIPS 2024Co-occurrence is not Factual Association in Language Models
23. NeurIPS 2024COLD: Causal reasOning in cLosed Daily activities
24. NeurIPS 2024ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
25. NeurIPS 2024Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
26. NeurIPS 2024Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions
27. NeurIPS 2024DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
28. NeurIPS 2024Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
29. NeurIPS 2024Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle
30. NeurIPS 2024Deep Equilibrium Algorithmic Reasoning
31. NeurIPS 2024DeiSAM: Segment Anything with Deictic Prompting
32. NeurIPS 2024Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning
33. NeurIPS 2024Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
34. NeurIPS 2024DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
35. NeurIPS 2024Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
36. NeurIPS 2024Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
37. NeurIPS 2024Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning
38. NeurIPS 2024Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning
39. NeurIPS 2024Enhancing LLM Reasoning via Vision-Augmented Prompting
40. NeurIPS 2024Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus
41. NeurIPS 2024Entity Alignment with Noisy Annotations from Large Language Models
42. NeurIPS 2024Evaluating Numerical Reasoning in Text-to-Image Models
43. NeurIPS 2024Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
44. NeurIPS 2024GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps
45. NeurIPS 2024GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning
46. NeurIPS 2024Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers
47. NeurIPS 2024Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization
48. NeurIPS 2024GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
49. NeurIPS 2024How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad
50. NeurIPS 2024Information Re-Organization Improves 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。