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 582 篇，第 12 / 12 页
- ICML 2026Verifying Meta-Awareness via Predictive Rewards in Reasoning Models
- ICML 2026Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding
- ICML 2026VideoSEG-O3: A Multi-turn Reinforcement Learning Framework for Reasoning Video Object Segmentation
- ICML 2026Vision Language Models Cannot Reason About Physical Transformation
- ICML 2026Vision-aligned Latent Reasoning for Multi-modal Large Language Model
- ICML 2026VisionPulse: Dynamic Visual Sparsity for Efficient Multimodal Reasoning
- ICML 2026Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension
- ICML 2026VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge
- ICML 2026VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model
- ICML 2026VR-Thinker: Boosting Multimodal Reward Models through Think with Image Reasoning
- ICML 2026VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning
- ICML 2026Wait, Wait, Wait... Why Do Reasoning Models Loop?
- ICML 2026What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
- ICML 2026What If We Allocate Test-Time Compute Adaptively?
- ICML 2026What LLMs Explain Is Not What They Believe: Evaluating Explanation Sufficiency Under Models' Own Input Beliefs
- ICML 2026What Makes Effective Supervision in Latent Chain-of-Thought: An Information-Theoretic Analysis
- ICML 2026What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure Code
- ICML 2026When AI Agents Compete for Jobs: Strategic Capabilities and Economic Dynamics of AI Labour Markets
- ICML 2026When LLMs Develop Languages: Symbolic Communication for Efficient Multi-Agent Reasoning
- ICML 2026When Simple Problems Wear Complex Costumes: Improving Efficiency in LRM's Adaptive Reasoning
- ICML 2026When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
- ICML 2026When to Think, When to Speak: Learning Disclosure Policies for LLM Reasoning
- ICML 2026When to Trust the Cheap Check: Weak and Strong Verification for Reasoning
- ICML 2026Which Heads Matter for Reasoning? RL-Guided KV Cache Compression
- ICML 2026Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models
- ICML 2026Why Tree-Style Branching Matters for Thought Advantage Estimation in GRPO
- ICML 2026Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation
- ICML 2026World-Model Inspired Emotion-aware Token Refinement for Training-Free Multimodal Emotion Recognition
- ICML 2026XDomainBench: Diagnosing Reasoning Collapse in High-Dimensional Scientific Knowledge Composition
- ICML 2026XRPO: Pushing the Limits of GRPO with Targeted Exploration and Exploitation
- ICML 2026You Don't Protect if You Don't Expect: Breaking the Key Assumption behind CLIP's Test-Time Defenses
- ICML 2026ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models
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。