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 1,253 篇,第 10 / 26 页
- NeurIPS 2025Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
- NeurIPS 2025Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets
- NeurIPS 2025Compositional Neural Network Verification via Assume-Guarantee Reasoning
- NeurIPS 2025Compositional Reasoning with Transformers, RNNs, and Chain of Thought
- NeurIPS 2025Conformal Information Pursuit for Interactively Guiding Large Language Models
- NeurIPS 2025Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
- NeurIPS 2025Continuous Thought Machines
- NeurIPS 2025Contrastive Representations for Temporal Reasoning
- NeurIPS 2025Controlling Thinking Speed in Reasoning Models
- NeurIPS 2025CoRe: Benchmarking LLMs’ Code Reasoning Capabilities through Static Analysis Tasks
- NeurIPS 2025CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision
- NeurIPS 2025CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring
- NeurIPS 2025Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
- NeurIPS 2025Counterfactual reasoning: an analysis of in-context emergence
- NeurIPS 2025CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models
- NeurIPS 2025Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models
- NeurIPS 2025CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning
- NeurIPS 2025Curriculum Abductive Learning
- NeurIPS 2025Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs
- NeurIPS 2025CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation
- NeurIPS 2025CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays
- NeurIPS 2025d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
- NeurIPS 2025DAA: Amplifying Unknown Discrepancy for Test-Time Discovery
- NeurIPS 2025DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization
- NeurIPS 2025DAPO: An Open-Source LLM Reinforcement Learning System at Scale
- NeurIPS 2025DeceptionBench: A Comprehensive Benchmark for AI Deception Behaviors in Real-world Scenarios
- NeurIPS 2025Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO
- NeurIPS 2025Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning
- NeurIPS 2025Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding
- NeurIPS 2025DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data
- NeurIPS 2025Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning
- NeurIPS 2025DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization
- NeurIPS 2025Distilling LLM Agent into Small Models with Retrieval and Code Tools
- NeurIPS 2025DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning
- NeurIPS 2025DMWM: Dual-Mind World Model with Long-Term Imagination
- NeurIPS 2025Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns
- NeurIPS 2025Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
- NeurIPS 2025Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models
- NeurIPS 2025Don’t Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models
- NeurIPS 2025DreamPRM: Domain-reweighted Process Reward Model for Multimodal Reasoning
- NeurIPS 2025DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?
- NeurIPS 2025DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs
- NeurIPS 2025DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion
- NeurIPS 2025Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy
- NeurIPS 2025EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
- NeurIPS 2025Efficiently Scaling LLM Reasoning Programs with Certaindex
- NeurIPS 2025EgoThinker: Unveiling Egocentric Reasoning with Spatio-Temporal CoT
- NeurIPS 2025Eliciting Reasoning in Language Models with Cognitive Tools
- NeurIPS 2025Emergent Risk Awareness in Rational Agents under Resource Constraints
- NeurIPS 2025Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
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。