推理模型论文趋势 2023–2026
链式推理、测试时计算与显式推理能力
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 3,512 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 271 | 57 | 109 | 33 | 470 |
| 2024 | 121 | 84 | 63 | 43 | 311 |
| 2025 | 500 | 203 | 159 | 70 | 932 |
| 2026 | 361 | 652 | 582 | 204 | 1,799 |
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 8 / 10 页
- NeurIPS 2023On the Adversarial Robustness of Out-of-distribution Generalization Models
- NeurIPS 2023On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
- NeurIPS 2023On the Convergence of CART under Sufficient Impurity Decrease Condition
- NeurIPS 2023On the Exploration of Local Significant Differences For Two-Sample Test
- NeurIPS 2023On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
- NeurIPS 2023On the Generalization Properties of Diffusion Models
- NeurIPS 2023On the Identifiability and Interpretability of Gaussian Process Models
- NeurIPS 2023On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
- NeurIPS 2023On the Planning Abilities of Large Language Models - A Critical Investigation
- NeurIPS 2023On the Size and Approximation Error of Distilled Datasets
- NeurIPS 2023On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making
- NeurIPS 2023On the Variance, Admissibility, and Stability of Empirical Risk Minimization
- NeurIPS 2023One-step differentiation of iterative algorithms
- NeurIPS 2023Online Clustering of Bandits with Misspecified User Models
- NeurIPS 2023OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping
- NeurIPS 2023Optimal testing using combined test statistics across independent studies
- NeurIPS 2023Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model
- NeurIPS 2023Parallel Sampling of Diffusion Models
- NeurIPS 2023Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
- NeurIPS 2023Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions
- NeurIPS 2023Passive learning of active causal strategies in agents and language models
- NeurIPS 2023Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
- NeurIPS 2023PCF-GAN: generating sequential data via the characteristic function of measures on the path space
- NeurIPS 2023Perception Test: A Diagnostic Benchmark for Multimodal Video Models
- NeurIPS 2023Persuading Farsighted Receivers in MDPs: the Power of Honesty
- NeurIPS 2023PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
- NeurIPS 2023Post Hoc Explanations of Language Models Can Improve Language Models
- NeurIPS 2023Predict-then-Calibrate: A New Perspective of Robust Contextual LP
- NeurIPS 2023Private estimation algorithms for stochastic block models and mixture models
- NeurIPS 2023Promises and Pitfalls of Threshold-based Auto-labeling
- NeurIPS 2023ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics
- NeurIPS 2023Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond
- NeurIPS 2023Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models
- NeurIPS 2023Puzzlefusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving
- NeurIPS 2023Quantifying the Cost of Learning in Queueing Systems
- NeurIPS 2023RDumb: A simple approach that questions our progress in continual test-time adaptation
- NeurIPS 2023RealTime QA: What's the Answer Right Now?
- NeurIPS 2023RECKONING: Reasoning through Dynamic Knowledge Encoding
- NeurIPS 2023Reflexion: language agents with verbal reinforcement learning
- NeurIPS 2023Regularization properties of adversarially-trained linear regression
- NeurIPS 2023RELIC: Reproducibility and Extension on LIC metric in quantifying bias in captioning models
- NeurIPS 2023Representational Strengths and Limitations of Transformers
- NeurIPS 2023Reproducibility study of 'Proto2Proto: Can you recognise the car, the way I do?'
- NeurIPS 2023Reproducibility Study of ”Label-Free Explainability for Unsupervised Models”
- NeurIPS 2023Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
- NeurIPS 2023Reusable Slotwise Mechanisms
- NeurIPS 2023Revisiting the Evaluation of Image Synthesis with GANs
- NeurIPS 2023RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments
- NeurIPS 2023RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
- NeurIPS 2023Robust Model Reasoning and Fitting via Dual Sparsity Pursuit
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查推理模型在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "reasoning-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。