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 500 篇，第 1 / 10 页

1. NeurIPS 2025$\texttt{G1}$: Teaching LLMs to Reason on Graphs with Reinforcement Learning
2. NeurIPS 2025$Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training
3. NeurIPS 2025A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities
4. NeurIPS 2025A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning
5. 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
6. NeurIPS 2025A learnability analysis on neuro-symbolic learning
7. NeurIPS 2025A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers
8. NeurIPS 2025A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning
9. NeurIPS 2025A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis
10. NeurIPS 2025A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
11. NeurIPS 2025A2Seek: Towards Reasoning-Centric Benchmark for Aerial Anomaly Understanding
12. NeurIPS 2025Absolute Zero: Reinforced Self-play Reasoning with Zero Data
13. NeurIPS 2025AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions
14. NeurIPS 2025Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking
15. NeurIPS 2025Accelerating RL for LLM Reasoning with Optimal Advantage Regression
16. NeurIPS 2025AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
17. NeurIPS 2025Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models
18. NeurIPS 2025Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models
19. NeurIPS 2025Activation-Guided Consensus Merging for Large Language Models
20. NeurIPS 2025Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization
21. NeurIPS 2025Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models
22. NeurIPS 2025AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking
23. NeurIPS 2025AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
24. NeurIPS 2025AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models
25. NeurIPS 2025AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents
26. NeurIPS 2025AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
27. NeurIPS 2025Analog Foundation Models
28. NeurIPS 2025Analyzing the Power of Chain of Thought through Memorization Capabilities
29. NeurIPS 2025Anchored Diffusion Language Model
30. NeurIPS 2025AnomalyCoT: A Multi-Scenario Chain-of-Thought Dataset for Multimodal Large Language Models
31. NeurIPS 2025Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector
32. NeurIPS 2025APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning
33. NeurIPS 2025Are Language Models Efficient Reasoners? A Perspective from Logic Programming
34. NeurIPS 2025Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
35. NeurIPS 2025ARM: Adaptive Reasoning Model
36. NeurIPS 2025AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science
37. NeurIPS 2025Atom of Thoughts for Markov LLM Test-Time Scaling
38. NeurIPS 2025Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities
39. NeurIPS 2025Attention (as Discrete-Time Markov) Chains
40. NeurIPS 2025Attention Sinks: A 'Catch, Tag, Release' Mechanism for Embeddings
41. NeurIPS 2025Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models
42. NeurIPS 2025Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models
43. NeurIPS 2025AudSemThinker: Enhancing Audio-Language Models Through Reasoning over Semantics of Sound
44. NeurIPS 2025Automated Model Discovery via Multi-modal & Multi-step Pipeline
45. NeurIPS 2025AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling
46. NeurIPS 2025AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
47. NeurIPS 2025Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation
48. NeurIPS 2025BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models
49. NeurIPS 2025Bag of Tricks for Inference-time Computation of LLM Reasoning
50. NeurIPS 2025Benchmarking Large Language Models with Integer Sequence Generation Tasks

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。