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 159 篇，第 3 / 4 页

101. ICML 2025PTTA: Purifying Malicious Samples for Test-Time Model Adaptation
102. ICML 2025Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs
103. ICML 2025R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts
104. ICML 2025Ranked Entropy Minimization for Continual Test-Time Adaptation
105. ICML 2025RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation
106. ICML 2025Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems
107. ICML 2025Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation
108. ICML 2025Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment
109. ICML 2025ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding
110. ICML 2025Regress, Don't Guess: A Regression-like Loss on Number Tokens for Language Models
111. ICML 2025RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing
112. ICML 2025Rethinking Chain-of-Thought from the Perspective of Self-Training
113. ICML 2025Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning
114. ICML 2025ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification
115. ICML 2025Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding?
116. ICML 2025rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
117. ICML 2025RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning
118. ICML 2025Safety Reasoning with Guidelines
119. ICML 2025SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
120. ICML 2025Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification
121. ICML 2025Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
122. ICML 2025Scaling Test-Time Compute Without Verification or RL is Suboptimal
123. ICML 2025Self-Consistency Preference Optimization
124. ICML 2025ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning
125. ICML 2025Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
126. ICML 2025Spatial Reasoning with Denoising Models
127. ICML 2025Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion
128. ICML 2025STAIR: Improving Safety Alignment with Introspective Reasoning
129. ICML 2025STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving
130. ICML 2025T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
131. ICML 2025Task Generalization with Autoregressive Compositional Structure: Can Learning from $D$ Tasks Generalize to $D^T$ Tasks?
132. ICML 2025Teaching Transformers Causal Reasoning through Axiomatic Training
133. ICML 2025Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
134. ICML 2025Test-Time Canonicalization by Foundation Models for Robust Perception
135. ICML 2025Test-time Correlation Alignment
136. ICML 2025Test-Time Learning for Large Language Models
137. ICML 2025Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data
138. ICML 2025Test-Time Training Provably Improves Transformers as In-context Learners
139. ICML 2025The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
140. ICML 2025Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
141. ICML 2025Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
142. ICML 2025Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models
143. ICML 2025TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation
144. ICML 2025UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
145. ICML 2025Understanding Chain-of-Thought in LLMs through Information Theory
146. ICML 2025Understanding the Logic of Direct Preference Alignment through Logic
147. ICML 2025Universal Length Generalization with Turing Programs
148. ICML 2025unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
149. ICML 2025Variational Counterfactual Intervention Planning to Achieve Target Outcomes
150. ICML 2025VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data

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。