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 932 篇,第 9 / 19 页
- ICML 2025STAIR: Improving Safety Alignment with Introspective Reasoning
- ICML 2025STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving
- ICML 2025T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
- ICML 2025Task Generalization with Autoregressive Compositional Structure: Can Learning from $D$ Tasks Generalize to $D^T$ Tasks?
- ICML 2025Teaching Transformers Causal Reasoning through Axiomatic Training
- ICML 2025Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
- ICML 2025Test-Time Canonicalization by Foundation Models for Robust Perception
- ICML 2025Test-time Correlation Alignment
- ICML 2025Test-Time Learning for Large Language Models
- ICML 2025Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data
- ICML 2025Test-Time Training Provably Improves Transformers as In-context Learners
- ICML 2025The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
- ICML 2025Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
- ICML 2025Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
- ICML 2025Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models
- ICML 2025TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation
- ICML 2025UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
- ICML 2025Understanding Chain-of-Thought in LLMs through Information Theory
- ICML 2025Understanding the Logic of Direct Preference Alignment through Logic
- ICML 2025Universal Length Generalization with Turing Programs
- ICML 2025unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
- ICML 2025Variational Counterfactual Intervention Planning to Achieve Target Outcomes
- ICML 2025VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data
- ICML 2025video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
- ICML 2025Visual and Domain Knowledge for Professional-level Graph-of-Thought Medical Reasoning
- ICML 2025Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
- ICML 2025What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning?
- ICML 2025Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems
- ICML 2025Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas
- ICML 2025WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving
- ICML 2025World Model Implanting for Test-time Adaptation of Embodied Agents
- ICML 2025ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
- NeurIPS 2025$\texttt{G1}$: Teaching LLMs to Reason on Graphs with Reinforcement Learning
- NeurIPS 2025$Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training
- NeurIPS 2025A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities
- NeurIPS 2025A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning
- 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
- NeurIPS 2025A learnability analysis on neuro-symbolic learning
- NeurIPS 2025A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers
- NeurIPS 2025A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning
- NeurIPS 2025A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis
- NeurIPS 2025A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
- NeurIPS 2025A2Seek: Towards Reasoning-Centric Benchmark for Aerial Anomaly Understanding
- NeurIPS 2025Absolute Zero: Reinforced Self-play Reasoning with Zero Data
- NeurIPS 2025AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions
- NeurIPS 2025Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking
- NeurIPS 2025Accelerating RL for LLM Reasoning with Optimal Advantage Regression
- NeurIPS 2025AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
- NeurIPS 2025Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models
- NeurIPS 2025Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language 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。