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 2 / 10 页

51. NeurIPS 2025Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges
52. NeurIPS 2025Best-of-N Jailbreaking
53. NeurIPS 2025Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations
54. NeurIPS 2025Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs
55. NeurIPS 2025Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs
56. NeurIPS 2025Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
57. NeurIPS 2025Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data
58. NeurIPS 2025BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model
59. NeurIPS 2025BLINK-Twice: You see, but do you observe? A Reasoning Benchmark on Visual Perception
60. NeurIPS 2025BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset
61. NeurIPS 2025Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation
62. NeurIPS 2025BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning
63. NeurIPS 2025BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent
64. NeurIPS 2025Buffer layers for Test-Time Adaptation
65. NeurIPS 2025C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
66. NeurIPS 2025CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward
67. NeurIPS 2025CALM: Culturally Self-Aware Language Models
68. NeurIPS 2025Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs
69. NeurIPS 2025Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?
70. NeurIPS 2025Caption This, Reason That: VLMs Caught in the Middle
71. NeurIPS 2025Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning
72. NeurIPS 2025Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration
73. NeurIPS 2025CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research
74. NeurIPS 2025Chain of Execution Supervision Promotes General Reasoning in Large Language Models
75. NeurIPS 2025Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation
76. NeurIPS 2025Chain-of-Retrieval Augmented Generation
77. NeurIPS 2025ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models
78. NeurIPS 2025ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding
79. NeurIPS 2025ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning
80. NeurIPS 2025Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search
81. NeurIPS 2025CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs
82. NeurIPS 2025Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time Adaptation
83. NeurIPS 2025CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections
84. NeurIPS 2025Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning Models
85. NeurIPS 2025CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model
86. NeurIPS 2025CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning
87. NeurIPS 2025CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
88. NeurIPS 2025CoFFT: Chain of Foresight-Focus Thought for Visual Language Models
89. NeurIPS 2025Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning
90. NeurIPS 2025Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
91. NeurIPS 2025Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets
92. NeurIPS 2025Compositional Neural Network Verification via Assume-Guarantee Reasoning
93. NeurIPS 2025Compositional Reasoning with Transformers, RNNs, and Chain of Thought
94. NeurIPS 2025Conformal Information Pursuit for Interactively Guiding Large Language Models
95. NeurIPS 2025Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
96. NeurIPS 2025Continuous Thought Machines
97. NeurIPS 2025Contrastive Representations for Temporal Reasoning
98. NeurIPS 2025Controlling Thinking Speed in Reasoning Models
99. NeurIPS 2025CoRe: Benchmarking LLMs’ Code Reasoning Capabilities through Static Analysis Tasks
100. NeurIPS 2025CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision

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。