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 271 篇，第 1 / 6 页

1. NeurIPS 2023[Re] Numerical influence of ReLU'(0) on backpropagation
2. NeurIPS 2023$\mathcal{M}^4$: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models
3. NeurIPS 20233D-Aware Visual Question Answering about Parts, Poses and Occlusions
4. NeurIPS 20233D-LLM: Injecting the 3D World into Large Language Models
5. NeurIPS 2023A benchmark of categorical encoders for binary classification
6. NeurIPS 2023A Diffusion-Model of Joint Interactive Navigation
7. NeurIPS 2023A Logic for Expressing Log-Precision Transformers
8. NeurIPS 2023A Massive Scale Semantic Similarity Dataset of Historical English
9. NeurIPS 2023A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
10. NeurIPS 2023Active Reasoning in an Open-World Environment
11. NeurIPS 2023Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
12. NeurIPS 2023Adaptive Test-Time Personalization for Federated Learning
13. NeurIPS 2023Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
14. NeurIPS 2023Anonymous and Copy-Robust Delegations for Liquid Democracy
15. NeurIPS 2023Approximate inference of marginals using the IBIA framework
16. NeurIPS 2023Are Emergent Abilities of Large Language Models a Mirage?
17. NeurIPS 2023ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
18. NeurIPS 2023Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect
19. NeurIPS 2023Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings
20. NeurIPS 2023Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset
21. NeurIPS 2023Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
22. NeurIPS 2023BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information
23. NeurIPS 2023Boosting Adversarial Transferability by Achieving Flat Local Maxima
24. NeurIPS 2023Budgeting Counterfactual for Offline RL
25. NeurIPS 2023Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
26. NeurIPS 2023BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
27. NeurIPS 2023Can Language Models Solve Graph Problems in Natural Language?
28. NeurIPS 2023Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization
29. NeurIPS 2023Causal Interpretation of Self-Attention in Pre-Trained Transformers
30. NeurIPS 2023Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
31. NeurIPS 2023Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
32. NeurIPS 2023Change point detection and inference in multivariate non-parametric models under mixing conditions
33. NeurIPS 2023Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker
34. NeurIPS 2023Circuit as Set of Points
35. NeurIPS 2023CLadder: Assessing Causal Reasoning in Language Models
36. NeurIPS 2023Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach
37. NeurIPS 2023CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence
38. NeurIPS 2023Collaborative Alignment of NLP Models
39. NeurIPS 2023Computing a human-like reaction time metric from stable recurrent vision models
40. NeurIPS 2023Concentration analysis of multivariate elliptic diffusions
41. NeurIPS 2023Conditional independence testing under misspecified inductive biases
42. NeurIPS 2023Coneheads: Hierarchy Aware Attention
43. NeurIPS 2023Continuous-Time Functional Diffusion Processes
44. NeurIPS 2023Contrastive Sampling Chains in Diffusion Models
45. NeurIPS 2023Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels
46. NeurIPS 2023Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction
47. NeurIPS 2023Counterfactual Memorization in Neural Language Models
48. NeurIPS 2023DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
49. NeurIPS 2023Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory
50. NeurIPS 2023Deductive Verification of Chain-of-Thought Reasoning

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。