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 3,512 篇，第 62 / 71 页
- CVPR 2023Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection
- CVPR 2023ECON: Explicit Clothed Humans Optimized via Normal Integration
- CVPR 2023Feature Alignment and Uniformity for Test Time Adaptation
- CVPR 2023FFCV: Accelerating Training by Removing Data Bottlenecks
- CVPR 2023Improved Test-Time Adaptation for Domain Generalization
- CVPR 2023K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
- CVPR 2023KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation
- CVPR 2023MagicPony: Learning Articulated 3D Animals in the Wild
- CVPR 2023Neural Vector Fields: Implicit Representation by Explicit Learning
- CVPR 2023Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
- CVPR 2023Passive Micron-Scale Time-of-Flight With Sunlight Interferometry
- CVPR 2023ReasonNet: End-to-End Driving With Temporal and Global Reasoning
- CVPR 2023Robust Dynamic Radiance Fields
- CVPR 2023Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
- CVPR 2023Robust Test-Time Adaptation in Dynamic Scenarios
- CVPR 2023SfM-TTR: Using Structure From Motion for Test-Time Refinement of Single-View Depth Networks
- CVPR 2023Super-CLEVR: A Virtual Benchmark To Diagnose Domain Robustness in Visual Reasoning
- CVPR 2023TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
- CVPR 2023Test of Time: Instilling Video-Language Models With a Sense of Time
- CVPR 2023TIPI: Test Time Adaptation With Transformation Invariance
- CVPR 2023Train/Test-Time Adaptation With Retrieval
- CVPR 2023TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
- CVPR 2023Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge
- CVPR 2023Video Test-Time Adaptation for Action Recognition
- CVPR 2023Visual Programming: Compositional Visual Reasoning Without Training
- ICLR 2023A Learning Based Hypothesis Test for Harmful Covariate Shift
- ICLR 2023A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
- ICLR 2023Automatic Chain of Thought Prompting in Large Language Models
- ICLR 2023Can Neural Networks Learn Implicit Logic from Physical Reasoning?
- ICLR 2023Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?
- ICLR 2023Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
- ICLR 2023Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models
- ICLR 2023Complexity-Based Prompting for Multi-step Reasoning
- ICLR 2023Decomposed Prompting: A Modular Approach for Solving Complex Tasks
- ICLR 2023DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION
- ICLR 2023Dual Algorithmic Reasoning
- ICLR 2023Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
- ICLR 2023Empowering Graph Representation Learning with Test-Time Graph Transformation
- ICLR 2023Feature selection and low test error in shallow low-rotation ReLU networks
- ICLR 2023GAMR: A Guided Attention Model for (visual) Reasoning
- ICLR 2023Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
- ICLR 2023Language models are multilingual chain-of-thought reasoners
- ICLR 2023Large Language Models are Human-Level Prompt Engineers
- ICLR 2023Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
- ICLR 2023Learning to Extrapolate: A Transductive Approach
- ICLR 2023Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
- ICLR 2023Learning where and when to reason in neuro-symbolic inference
- ICLR 2023Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
- ICLR 2023LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
- ICLR 2023Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
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。