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 3 / 6 页

101. NeurIPS 2023Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
102. NeurIPS 2023ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification
103. NeurIPS 2023Imbalanced Mixed Linear Regression
104. NeurIPS 2023Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability
105. NeurIPS 2023Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
106. NeurIPS 2023In-Context Impersonation Reveals Large Language Models' Strengths and Biases
107. NeurIPS 2023Interactive Visual Reasoning under Uncertainty
108. NeurIPS 2023Intervention Generalization: A View from Factor Graph Models
109. NeurIPS 2023Intriguing Properties of Quantization at Scale
110. NeurIPS 2023Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts
111. NeurIPS 2023Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning
112. NeurIPS 2023iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
113. NeurIPS 2023Joint processing of linguistic properties in brains and language models
114. NeurIPS 2023Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
115. NeurIPS 2023Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
116. NeurIPS 2023Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses
117. NeurIPS 2023LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections
118. NeurIPS 2023Language Is Not All You Need: Aligning Perception with Language Models
119. NeurIPS 2023Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
120. NeurIPS 2023Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
121. NeurIPS 2023Large Language Models are Visual Reasoning Coordinators
122. NeurIPS 2023Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language.
123. NeurIPS 2023Large Language Models of Code Fail at Completing Code with Potential Bugs
124. NeurIPS 2023Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions
125. NeurIPS 2023LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
126. NeurIPS 2023Learning Reliable Logical Rules with SATNet
127. NeurIPS 2023Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
128. NeurIPS 2023Learning to Reason and Memorize with Self-Notes
129. NeurIPS 2023LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
130. NeurIPS 2023LLM-Pruner: On the Structural Pruning of Large Language Models
131. NeurIPS 2023Localized Symbolic Knowledge Distillation for Visual Commonsense Models
132. NeurIPS 2023LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering
133. NeurIPS 2023Markovian Sliced Wasserstein Distances: Beyond Independent Projections
134. NeurIPS 2023Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark
135. NeurIPS 2023Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
136. NeurIPS 2023Minimum norm interpolation by perceptra: Explicit regularization and implicit bias
137. NeurIPS 2023Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
138. NeurIPS 2023MMD Aggregated Two-Sample Test
139. NeurIPS 2023MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks
140. NeurIPS 2023Most Neural Networks Are Almost Learnable
141. NeurIPS 2023Multi Time Scale World Models
142. NeurIPS 2023MVDoppler: Unleashing the Power of Multi-View Doppler for MicroMotion-based Gait Classification
143. NeurIPS 2023Near Optimal Reconstruction of Spherical Harmonic Expansions
144. NeurIPS 2023Neural Algorithmic Reasoning Without Intermediate Supervision
145. NeurIPS 2023Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes
146. NeurIPS 2023Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
147. NeurIPS 2023Non-Asymptotic Analysis of a UCB-based Top Two Algorithm
148. NeurIPS 2023Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
149. NeurIPS 2023Offline Imitation Learning with Variational Counterfactual Reasoning
150. NeurIPS 2023On Calibrating Diffusion Probabilistic Models

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。