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 11 / 26 页
- NeurIPS 2025Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders
- NeurIPS 2025Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
- NeurIPS 2025Evaluating Program Semantics Reasoning with Type Inference in System $F$
- NeurIPS 2025Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps
- NeurIPS 2025Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling
- NeurIPS 2025Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
- NeurIPS 2025EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution
- NeurIPS 2025Exact Expressive Power of Transformers with Padding
- NeurIPS 2025Execution Guided Line-by-Line Code Generation
- NeurIPS 2025ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning
- NeurIPS 2025Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning
- NeurIPS 2025FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design
- NeurIPS 2025Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning
- NeurIPS 2025Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
- NeurIPS 2025FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models
- NeurIPS 2025Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms
- NeurIPS 2025Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
- NeurIPS 2025First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training
- NeurIPS 2025Fixed-Point RNNs: Interpolating from Diagonal to Dense
- NeurIPS 2025FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models
- NeurIPS 2025Flexible Realignment of Language Models
- NeurIPS 2025FlySearch: Exploring how vision-language models explore
- NeurIPS 2025From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs
- NeurIPS 2025From Sequence to Structure: Uncovering Substructure Reasoning in Transformers
- NeurIPS 2025FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving
- NeurIPS 2025General-Reasoner: Advancing LLM Reasoning Across All Domains
- NeurIPS 2025Generalizable Reasoning through Compositional Energy Minimization
- NeurIPS 2025Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers
- NeurIPS 2025Geometric Algorithms for Neural Combinatorial Optimization with Constraints
- NeurIPS 2025Geometry of Decision Making in Language Models
- NeurIPS 2025GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing
- NeurIPS 2025GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning Chains
- NeurIPS 2025GRIP: A Graph-Based Reasoning Instruction Producer
- NeurIPS 2025GRIT: Teaching MLLMs to Think with Images
- NeurIPS 2025Grounded Reinforcement Learning for Visual Reasoning
- NeurIPS 2025GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
- NeurIPS 2025GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents
- NeurIPS 2025GUI-Rise: Structured Reasoning and History Summarization for GUI Navigation
- NeurIPS 2025Guiding LLM Decision-Making with Fairness Reward Models
- NeurIPS 2025GVPO: Group Variance Policy Optimization for Large Language Model Post-Training
- NeurIPS 2025Heterogeneous Adversarial Play in Interactive Environments
- NeurIPS 2025Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
- NeurIPS 2025HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning
- NeurIPS 2025How do Transformers Learn Implicit Reasoning?
- NeurIPS 2025How Far Are We from Optimal Reasoning Efficiency?
- NeurIPS 2025Hybrid Latent Reasoning via Reinforcement Learning
- NeurIPS 2025HypoBootstrap: A Bootstrapping Framework for Inductive Reasoning
- NeurIPS 2025ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests
- NeurIPS 2025Improving Formal Reasoning of Transformer with State Stack
- NeurIPS 2025Incentivizing Dual Process Thinking for Efficient Large Language Model 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。