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 470 篇，第 6 / 10 页

251. NeurIPS 2023Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought
252. NeurIPS 2023Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs
253. NeurIPS 2023Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick
254. NeurIPS 2023Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
255. NeurIPS 2023Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
256. NeurIPS 2023DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
257. NeurIPS 2023Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning
258. NeurIPS 2023Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity
259. NeurIPS 2023Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier
260. NeurIPS 2023DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
261. NeurIPS 2023Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning
262. NeurIPS 2023Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
263. NeurIPS 2023Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
264. NeurIPS 2023Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
265. NeurIPS 2023Does Visual Pretraining Help End-to-End Reasoning?
266. NeurIPS 2023Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
267. NeurIPS 2023Egocentric Planning for Scalable Embodied Task Achievement
268. NeurIPS 2023EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
269. NeurIPS 2023Embracing the chaos: analysis and diagnosis of numerical instability in variational flows
270. NeurIPS 2023Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
271. NeurIPS 2023Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
272. NeurIPS 2023Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
273. NeurIPS 2023Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
274. NeurIPS 2023Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
275. NeurIPS 2023Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach
276. NeurIPS 2023Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
277. NeurIPS 2023Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model
278. NeurIPS 2023Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings
279. NeurIPS 2023Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
280. NeurIPS 2023Exposing Attention Glitches with Flip-Flop Language Modeling
281. NeurIPS 2023Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
282. NeurIPS 2023Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman
283. NeurIPS 2023Faith and Fate: Limits of Transformers on Compositionality
284. NeurIPS 2023Fantastic Robustness Measures: The Secrets of Robust Generalization
285. NeurIPS 2023Fast Approximation of Similarity Graphs with Kernel Density Estimation
286. NeurIPS 2023Fast Attention Requires Bounded Entries
287. NeurIPS 2023Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees
288. NeurIPS 2023Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
289. NeurIPS 2023FELM: Benchmarking Factuality Evaluation of Large Language Models
290. NeurIPS 2023Finding Counterfactually Optimal Action Sequences in Continuous State Spaces
291. NeurIPS 2023Generalizing Nonlinear ICA Beyond Structural Sparsity
292. NeurIPS 2023GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies
293. NeurIPS 2023Glance and Focus: Memory Prompting for Multi-Event Video Question Answering
294. NeurIPS 2023GloptiNets: Scalable Non-Convex Optimization with Certificates
295. NeurIPS 2023Goal Driven Discovery of Distributional Differences via Language Descriptions
296. NeurIPS 2023GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
297. NeurIPS 2023GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
298. NeurIPS 2023Hierarchical VAEs provide a normative account of motion processing in the primate brain
299. NeurIPS 2023How to Turn Your Knowledge Graph Embeddings into Generative Models
300. NeurIPS 2023Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language

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。