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 913 篇,第 10 / 19 页
- ICML 2026Spectral-Progressive Thought Flow for Lightweight Multimodal Reasoning
- ICML 2026SPLIT-VLM: Salience-Guided Partitioning towards Local Coverage for Importance-Aware Token Dropping in Vision-Language Models
- ICML 2026SRPO: Self-Reflective Policy Optimization for Long-Horizon Reasoning
- ICML 2026ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual Grounding
- ICML 2026Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers
- ICML 2026Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models
- ICML 2026Stable Asynchrony: Variance-Controlled Off-Policy RL for LLMs
- ICML 2026Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control
- ICML 2026State Space Model with Continuous Limit of HiPPO Matrix: Eigenvalue Analysis and Explicit Solution Formula
- ICML 2026Statistical Early Stopping for Reasoning Models
- ICML 2026Step-Level Sparse Autoencoder for Reasoning Process Interpretation
- ICML 2026Step-Resolved Data Attribution for Looped Transformers
- ICML 2026StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning
- ICML 2026Stop When Further Reasoning Won’t Help: Attention-State Adaptive Generation in Reasoning Models
- ICML 2026Strat-Reasoner: Reinforcing Strategic Reasoning of LLMs in Multi-Agent Games
- ICML 2026Strategy Executability in Mathematical Reasoning: Leveraging Human–Model Differences for Effective Guidance
- ICML 2026Structure Enables Effective Self-Localization of Errors in LLMs
- ICML 2026SuCo: Sufficiency-guided Continuous Adaptive Reasoning
- ICML 2026Symbol-Equivariant Recurrent Reasoning Models
- ICML 2026Syntax vs. Semantics: How Transformers Learn Deep Dependencies
- ICML 2026T-POP: Test-Time Personalization with Online Preference Feedback
- ICML 2026Tailoring the Training: Difficulty-Aware Learning Strategy Allocation for Large Language Models
- ICML 2026Task-and-Model-Aware Fractal-Consistency for Efficient LLM Reasoning
- ICML 2026Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
- ICML 2026Test-Time Detoxification without Training or Learning Anything
- ICML 2026Test-time Generalization for Physics through Neural Operator Splitting
- ICML 2026Test-Time Learning of Causal Structure from Interventional Data
- ICML 2026Test-Time Training with KV Binding Is Secretly Linear Attention
- ICML 2026Testing For Distribution Shifts with Conditional Conformal Test Martingales
- ICML 2026TFRBench: A Reasoning Benchmark for Evaluating Forecasting Systems
- ICML 2026TG-RAG: A Retrieval-Augmented Framework for Reasoning Guidance in Specialized Domains
- ICML 2026The Abstraction Gap in Vision-Language Causal Reasoning
- ICML 2026The Art of Interrogation: Consistency Amplifies Factuality in Spatial Reasoning
- ICML 2026The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind
- ICML 2026The Deterministic Horizon: When Extended Reasoning Fails and Tool Delegation Becomes Necessary
- ICML 2026The Easy, the Hard, and the Learnable: Confidence and Difficulty-Adaptive Policy Optimization for LLM Reasoning
- ICML 2026The Expressive Power of Low Precision Softmax Transformers with (Summarized) Chain-of-Thought
- ICML 2026The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models
- ICML 2026The Geometric Reasoner: Manifold-Informed Latent Foresight Search for Long-Context Reasoning
- ICML 2026The Geometry of Reasoning: Self-Evaluation via Layerwise Trajectory Evolution
- ICML 2026The Power of Power Law: Asymmetry Enables Compositional Reasoning
- ICML 2026The Quality-Utility Paradox: Why High-Reward Data Impairs Small Model Mathematical Reasoning
- ICML 2026The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs
- ICML 2026The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models
- ICML 2026The Signal is in the Steps: Local Scoring for Reasoning Data Selection
- ICML 2026The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning
- ICML 2026The Tell-Tale Norm: $\ell_2$ Magnitude as a Signal for Reasoning Dynamics in Large Language Models
- ICML 2026The Two-Hump Problem: Bridging the Difficulty Gap in Mathematical Reinforcement Learning
- ICML 2026The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization
- ICML 2026Theoretical Perspectives on Data Quality and Synergistic Effects in Pre- and Post-Training Reasoning 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。