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 42 / 71 页
- ICLR 2025ToolGen: Unified Tool Retrieval and Calling via Generation
- ICLR 2025Training Language Models on Synthetic Edit Sequences Improves Code Synthesis
- ICLR 2025Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis
- ICLR 2025Training on the Test Task Confounds Evaluation and Emergence
- ICLR 2025Transformer Encoder Satisfiability: Complexity and Impact on Formal Reasoning
- ICLR 2025Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought
- ICLR 2025Transformers Provably Solve Parity Efficiently with Chain of Thought
- ICLR 2025Transformers Struggle to Learn to Search
- ICLR 2025TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram
- ICLR 2025TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking
- ICLR 2025UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models
- ICLR 2025UniCoTT: A Unified Framework for Structural Chain-of-Thought Distillation
- ICLR 2025Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment
- ICLR 2025Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only
- ICLR 2025Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision
- ICLR 2025Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs
- ICLR 2025Visual-O1: Understanding Ambiguous Instructions via Multi-modal Multi-turn Chain-of-thoughts Reasoning
- ICLR 2025VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning
- ICLR 2025Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
- ICLR 2025What Makes a Maze Look Like a Maze?
- ICLR 2025What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
- ICLR 2025When does compositional structure yield compositional generalization? A kernel theory.
- ICML 2025A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
- ICML 2025A Reasoning-Based Approach to Cryptic Crossword Clue Solving
- ICML 2025A Sample Efficient Conditional Independence Test in the Presence of Discretization
- ICML 2025Accelerating Large Language Model Reasoning via Speculative Search
- ICML 2025AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism
- ICML 2025AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
- ICML 2025Adversarial Reasoning at Jailbreaking Time
- ICML 2025An Analysis for Reasoning Bias of Language Models with Small Initialization
- ICML 2025An Architecture Search Framework for Inference-Time Techniques
- ICML 2025Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities
- ICML 2025Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments
- ICML 2025Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective
- ICML 2025BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
- ICML 2025Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning
- ICML 2025Blink of an eye: a simple theory for feature localization in generative models
- ICML 2025Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
- ICML 2025BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
- ICML 2025Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark
- ICML 2025Can Transformers Reason Logically? A Study in SAT Solving
- ICML 2025Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel
- ICML 2025CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction
- ICML 2025Compositional Causal Reasoning Evaluation in Language Models
- ICML 2025Cost-efficient Collaboration between On-device and Cloud Language Models
- ICML 2025CRANE: Reasoning with constrained LLM generation
- ICML 2025Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM’s Reasoning Capability
- ICML 2025Deliberation in Latent Space via Differentiable Cache Augmentation
- ICML 2025Demonstration Selection for In-Context Learning via Reinforcement Learning
- ICML 2025Demystifying Long Chain-of-Thought 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。