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 57 / 71 页
- ICLR 2024Hypothesis Search: Inductive Reasoning with Language Models
- ICLR 2024I-PHYRE: Interactive Physical Reasoning
- ICLR 2024LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
- ICLR 2024Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning
- ICLR 2024Large Language Models as Analogical Reasoners
- ICLR 2024Large Language Models Cannot Self-Correct Reasoning Yet
- ICLR 2024Learning Performance-Improving Code Edits
- ICLR 2024Lemur: Harmonizing Natural Language and Code for Language Agents
- ICLR 2024Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
- ICLR 2024Let's Verify Step by Step
- ICLR 2024LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
- ICLR 2024Llemma: An Open Language Model for Mathematics
- ICLR 2024Look, Remember and Reason: Grounded Reasoning in Videos with Language Models
- ICLR 2024Magnushammer: A Transformer-Based Approach to Premise Selection
- ICLR 2024MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
- ICLR 2024MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
- ICLR 2024MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
- ICLR 2024MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
- ICLR 2024MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
- ICLR 2024Neural Language of Thought Models
- ICLR 2024On the generalization capacity of neural networks during generic multimodal reasoning
- ICLR 2024On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods
- ICLR 2024On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
- ICLR 2024On the Variance of Neural Network Training with respect to Test Sets and Distributions
- ICLR 2024Online GNN Evaluation Under Test-time Graph Distribution Shifts
- ICLR 2024OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
- ICLR 2024OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
- ICLR 2024Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
- ICLR 2024PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation
- ICLR 2024Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
- ICLR 2024REFACTOR: Learning to Extract Theorems from Proofs
- ICLR 2024Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
- ICLR 2024SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
- ICLR 2024SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos
- ICLR 2024Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
- ICLR 2024SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
- ICLR 2024Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
- ICLR 2024Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM
- ICLR 2024Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
- ICLR 2024Teaching Arithmetic to Small Transformers
- ICLR 2024Test-time Adaptation against Multi-modal Reliability Bias
- ICLR 2024Test-Time Training on Nearest Neighbors for Large Language Models
- ICLR 2024TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
- ICLR 2024The Expressive Power of Transformers with Chain of Thought
- ICLR 2024The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
- ICLR 2024Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
- ICLR 2024THOUGHT PROPAGATION: AN ANALOGICAL APPROACH TO COMPLEX REASONING WITH LARGE LANGUAGE MODELS
- ICLR 2024TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
- ICLR 2024ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
- ICLR 2024Towards Foundation Models for Knowledge Graph Reasoning
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。