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 932 篇，第 2 / 19 页

51. CVPR 2025Scaling Properties of Diffusion Models For Perceptual Tasks
52. CVPR 2025Scaling Vision Pre-Training to 4K Resolution
53. CVPR 2025SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments
54. CVPR 2025Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation
55. CVPR 2025SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving
56. CVPR 2025Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Mutimodal Models
57. CVPR 2025STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training
58. CVPR 2025Style Evolving along Chain-of-Thought for Unknown-Domain Object Detection
59. CVPR 2025SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity
60. CVPR 2025T2SG: Traffic Topology Scene Graph for Topology Reasoning in Autonomous Driving
61. CVPR 2025Test-time Augmentation Improves Efficiency in Conformal Prediction
62. CVPR 2025Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
63. CVPR 2025Test-Time Visual In-Context Tuning
64. CVPR 2025The Devil is in Temporal Token: High Quality Video Reasoning Segmentation
65. CVPR 2025Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
66. CVPR 2025TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction
67. CVPR 2025VELOCITI: Benchmarking Video-Language Compositional Reasoning with Strict Entailment
68. CVPR 2025VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection
69. CVPR 2025VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
70. CVPR 2025VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning
71. ICLR 2025A Conditional Independence Test in the Presence of Discretization
72. ICLR 2025A Formal Framework for Understanding Length Generalization in Transformers
73. ICLR 2025ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints
74. ICLR 2025Adaptive Energy Alignment for Accelerating Test-Time Adaptation
75. ICLR 2025Addressing Label Shift in Distributed Learning via Entropy Regularization
76. ICLR 2025Advancing LLM Reasoning Generalists with Preference Trees
77. ICLR 2025AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation
78. ICLR 2025Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation
79. ICLR 2025Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
80. ICLR 2025Artificial Kuramoto Oscillatory Neurons
81. ICLR 2025Attention as a Hypernetwork
82. ICLR 2025Automated Design of Agentic Systems
83. ICLR 2025Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
84. ICLR 2025Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
85. ICLR 2025B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
86. ICLR 2025Better Instruction-Following Through Minimum Bayes Risk
87. ICLR 2025Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
88. ICLR 2025Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
89. ICLR 2025BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
90. ICLR 2025BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
91. ICLR 2025BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
92. ICLR 2025Building Math Agents with Multi-Turn Iterative Preference Learning
93. ICLR 2025Can LLMs Solve Longer Math Word Problems Better?
94. ICLR 2025Causal Identification for Complex Functional Longitudinal Studies
95. ICLR 2025Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
96. ICLR 2025Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
97. ICLR 2025Chain-of-region: Visual Language Models Need Details for Diagram Analysis
98. ICLR 2025Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable
99. ICLR 2025ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
100. ICLR 2025ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding

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。