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 311 篇，第 3 / 7 页

101. ICLR 2024Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
102. ICLR 2024SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
103. ICLR 2024SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos
104. ICLR 2024Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
105. ICLR 2024SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
106. ICLR 2024Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
107. ICLR 2024Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM
108. ICLR 2024Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
109. ICLR 2024Teaching Arithmetic to Small Transformers
110. ICLR 2024Test-time Adaptation against Multi-modal Reliability Bias
111. ICLR 2024Test-Time Training on Nearest Neighbors for Large Language Models
112. ICLR 2024TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
113. ICLR 2024The Expressive Power of Transformers with Chain of Thought
114. ICLR 2024The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
115. ICLR 2024Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
116. ICLR 2024THOUGHT PROPAGATION: AN ANALOGICAL APPROACH TO COMPLEX REASONING WITH LARGE LANGUAGE MODELS
117. ICLR 2024TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
118. ICLR 2024ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
119. ICLR 2024Towards Foundation Models for Knowledge Graph Reasoning
120. ICLR 2024Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection
121. ICLR 2024Towards Robust Multi-Modal Reasoning via Model Selection
122. ICLR 2024Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
123. ICLR 2024Understanding Expressivity of GNN in Rule Learning
124. ICLR 2024ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
125. ICLR 2024Video Decomposition Prior: Editing Videos Layer by Layer
126. ICLR 2024What Algorithms can Transformers Learn? A Study in Length Generalization
127. ICLR 2024When can transformers reason with abstract symbols?
128. ICML 2024Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
129. ICML 2024Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts
130. ICML 2024Auto-Regressive Next-Token Predictors are Universal Learners
131. ICML 2024BAT: Learning to Reason about Spatial Sounds with Large Language Models
132. ICML 2024Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
133. ICML 2024Chain-of-Thought Predictive Control
134. ICML 2024CogBench: a large language model walks into a psychology lab
135. ICML 2024Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
136. ICML 2024Compute Better Spent: Replacing Dense Layers with Structured Matrices
137. ICML 2024Conformal Predictions under Markovian Data
138. ICML 2024ContPhy: Continuum Physical Concept Learning and Reasoning from Videos
139. ICML 2024Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time
140. ICML 2024Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
141. ICML 2024CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
142. ICML 2024Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
143. ICML 2024Do Efficient Transformers Really Save Computation?
144. ICML 2024Dynamic Correlation Clustering in Sublinear Update Time
145. ICML 2024Evaluation of Test-Time Adaptation Under Computational Time Constraints
146. ICML 2024Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems
147. ICML 2024Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation
148. ICML 2024Fully-Dynamic Approximate Decision Trees With Worst-Case Update Time Guarantees
149. ICML 2024Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought
150. ICML 2024GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements

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。