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 63 / 71 页
- ICLR 2023M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
- ICLR 2023MECTA: Memory-Economic Continual Test-Time Model Adaptation
- ICLR 2023Mind's Eye: Grounded Language Model Reasoning through Simulation
- ICLR 2023Multimodal Analogical Reasoning over Knowledge Graphs
- ICLR 2023Neural Compositional Rule Learning for Knowledge Graph Reasoning
- ICLR 2023NTK-SAP: Improving neural network pruning by aligning training dynamics
- ICLR 2023On Achieving Optimal Adversarial Test Error
- ICLR 2023PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
- ICLR 2023ReAct: Synergizing Reasoning and Acting in Language Models
- ICLR 2023Relational Attention: Generalizing Transformers for Graph-Structured Tasks
- ICLR 2023Rethinking skip connection model as a learnable Markov chain
- ICLR 2023ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
- ICLR 2023Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
- ICLR 2023Self-Consistency Improves Chain of Thought Reasoning in Language Models
- ICLR 2023Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
- ICLR 2023SQA3D: Situated Question Answering in 3D Scenes
- ICLR 2023STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK
- ICLR 2023TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
- ICLR 2023Temporal Coherent Test Time Optimization for Robust Video Classification
- ICLR 2023Test-Time Adaptation via Self-Training with Nearest Neighbor Information
- ICLR 2023Test-Time Robust Personalization for Federated Learning
- ICLR 2023Towards Inferential Reproducibility of Machine Learning Research
- ICLR 2023Towards Stable Test-time Adaptation in Dynamic Wild World
- ICLR 2023Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
- ICLR 2023TrojText: Test-time Invisible Textual Trojan Insertion
- ICLR 2023TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
- ICLR 2023UL2: Unifying Language Learning Paradigms
- ICLR 2023UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
- ICLR 2023Visual Recognition with Deep Nearest Centroids
- ICLR 2023Visually-Augmented Language Modeling
- ICLR 2023Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
- ICLR 2023Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection
- ICML 2023A Statistical Perspective on Retrieval-Based Models
- ICML 2023A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
- ICML 2023A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates
- ICML 2023AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
- ICML 2023Adaptive Computation with Elastic Input Sequence
- ICML 2023An Effective Meaningful Way to Evaluate Survival Models
- ICML 2023Bag of Tricks for Training Data Extraction from Language Models
- ICML 2023Bandits with Knapsacks: Advice on Time-Varying Demands
- ICML 2023Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
- ICML 2023Benign Overfitting in Deep Neural Networks under Lazy Training
- ICML 2023Benign Overfitting in Two-layer ReLU Convolutional Neural Networks
- ICML 2023Beyond the Edge of Stability via Two-step Gradient Updates
- ICML 2023Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
- ICML 2023CLIPood: Generalizing CLIP to Out-of-Distributions
- ICML 2023Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator
- ICML 2023Consistency Models
- ICML 2023Constraint Reasoning Embedded Structured Prediction
- ICML 2023Contextual Reliability: When Different Features Matter in Different Contexts
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。