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 470 篇，第 9 / 10 页
- NeurIPS 2023SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
- NeurIPS 2023Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk
- NeurIPS 2023SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
- NeurIPS 2023Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time
- NeurIPS 2023Self-Consistent Velocity Matching of Probability Flows
- NeurIPS 2023Self-Evaluation Guided Beam Search for Reasoning
- NeurIPS 2023SHAP-IQ: Unified Approximation of any-order Shapley Interactions
- NeurIPS 2023Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms
- NeurIPS 2023Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities
- NeurIPS 2023Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimization
- NeurIPS 2023SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning
- NeurIPS 2023Small Transformers Compute Universal Metric Embeddings
- NeurIPS 2023SODA: Robust Training of Test-Time Data Adaptors
- NeurIPS 2023SpecTr: Fast Speculative Decoding via Optimal Transport
- NeurIPS 2023SPRING: Studying Papers and Reasoning to play Games
- NeurIPS 2023Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
- NeurIPS 2023Squared Neural Families: A New Class of Tractable Density Models
- NeurIPS 2023Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
- NeurIPS 2023State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory
- NeurIPS 2023Statistical Insights into HSIC in High Dimensions
- NeurIPS 2023Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows
- NeurIPS 2023Strong and Precise Modulation of Human Percepts via Robustified ANNs
- NeurIPS 2023Structure of universal formulas
- NeurIPS 2023Structured Semidefinite Programming for Recovering Structured Preconditioners
- NeurIPS 2023Survival Permanental Processes for Survival Analysis with Time-Varying Covariates
- NeurIPS 2023SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
- NeurIPS 2023SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
- NeurIPS 2023Switching Autoregressive Low-rank Tensor Models
- NeurIPS 2023Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning
- NeurIPS 2023Systematic Visual Reasoning through Object-Centric Relational Abstraction
- NeurIPS 2023Tanh Works Better with Asymmetry
- NeurIPS 2023Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes
- NeurIPS 2023Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
- NeurIPS 2023Test-Time Distribution Normalization for Contrastively Learned Visual-language Models
- NeurIPS 2023Test-time Training for Matching-based Video Object Segmentation
- NeurIPS 2023Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
- NeurIPS 2023TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph
- NeurIPS 2023The Distortion of Binomial Voting Defies Expectation
- NeurIPS 2023The emergence of clusters in self-attention dynamics
- NeurIPS 2023The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
- NeurIPS 2023The geometry of hidden representations of large transformer models
- NeurIPS 2023The Impact of Positional Encoding on Length Generalization in Transformers
- NeurIPS 2023This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations
- NeurIPS 2023Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points
- NeurIPS 2023Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
- NeurIPS 2023TOA: Task-oriented Active VQA
- NeurIPS 2023Towards Efficient Image Compression Without Autoregressive Models
- NeurIPS 2023Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
- NeurIPS 2023Towards Test-Time Refusals via Concept Negation
- NeurIPS 2023Train 'n Trade: Foundations of Parameter Markets
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。