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 913 篇，第 1 / 19 页

1. ICML 2026“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft Design
2. ICML 20263ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models
3. ICML 2026A Formal Comparison Between Chain of Thought and Latent Thought
4. ICML 2026A Narrowing Geometry in Contaminated Reasoning
5. ICML 2026A Progressive Evidence Localization Framework Based on Wasserstein Gradient Flows for Document Visual Question Answering
6. ICML 2026A Provable Expressiveness Hierarchy in Hybrid Linear-Full Attention
7. ICML 2026A Task-centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula
8. ICML 2026A Very Big Video Reasoning Suite
9. ICML 2026A²RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation
10. ICML 2026Abductive Reasoning with Probabilistic Commonsense
11. ICML 2026Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM Reasoning
12. ICML 2026Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo
13. ICML 2026Adaptive Recurrent Message Passing for Test Time Computing on Graphs
14. ICML 2026Adaptive Time Series Reasoning via Segment Selection
15. ICML 2026Adaptive Volumetric Mechanical Property Fields Invariant to Resolution
16. ICML 2026Advancing LLM Reasoning with Natural Language and Numerical Feedback
17. ICML 2026Advantage Collapse in Group Relative Policy Optimization: Diagnosis and Mitigation
18. ICML 2026Adversarial Training for Process Reward Models
19. ICML 2026AffIn-Space: Learning Affine-Invariant Representations for 3D Spatial Understanding with MLLMs
20. ICML 2026Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents
21. ICML 2026AICrypto: Evaluating Cryptography Capabilities of Large Language Models
22. ICML 2026AIR: Post-training Data Selection for Reasoning via Attention Head Influence
23. ICML 2026AlgoTrace: Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models
24. ICML 2026AlgoVeri: An Aligned Benchmark for Verified Code Generation on Classical Algorithms
25. ICML 2026Aligning Tree-Search Policies with Fixed Token Budgets in Test-Time Scaling of LLMs
26. ICML 2026AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection
27. ICML 2026Anytime Safe PAC Efficient Reasoning
28. ICML 2026Are Large Reasoning Models Interruptible?
29. ICML 2026Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination
30. ICML 2026Artemis: Structured Visual Reasoning for Perception Policy Learning
31. ICML 2026ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark
32. ICML 2026Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling
33. ICML 2026Asymptotically Optimal Sequential Testing with Markovian Data
34. ICML 2026AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding
35. ICML 2026ATLAS: Learning to Optimally Memorize the Context at Test Time
36. ICML 2026Attention Illuminates LLM Reasoning: The Uncovered Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization
37. ICML 2026Automatic Pruning Discovery for Large Language Models
38. ICML 2026AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning
39. ICML 2026AutoVSR: Automatic Visual-to-Symbolic Reasoning for Symbolic Expression Generation from Circuit Schematic
40. ICML 2026Awakening Visual Reasoning: Mitigating Post-Training Failure in Vision-Text Compression
41. ICML 2026BabyVision: Visual Reasoning Beyond Language
42. ICML 2026BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate
43. ICML 2026Base Models Know How to Reason, Thinking Models Learn When
44. ICML 2026Batched Contextual Reinforcement
45. ICML 2026BeaconKV: Key-Value Cache Compression Guided by Beacon Queries for Efficient Large Reasoning Model Inference
46. ICML 2026Benchmarking the Scientific Mind: A Pathology-Derived Biomedical VQA Benchmark for Complex Scientific Reasoning
47. ICML 2026Better, Faster: Harnessing Self-Improvement in Large Reasoning Models
48. ICML 2026Beyond Accuracy: Latent Perturbations for Cognitive-Aware Diagnosis
49. ICML 2026Beyond Drift: Stabilizing Subjective LLM Evaluation with Information-Theoretic Rubrics
50. ICML 2026Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization

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。