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 500 篇,第 9 / 10 页
- NeurIPS 2025Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems
- NeurIPS 2025SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning
- NeurIPS 2025SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
- NeurIPS 2025SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning
- NeurIPS 2025SPRINT: Enabling Interleaved Planning and Parallelized Execution in Reasoning Models
- NeurIPS 2025SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning
- NeurIPS 2025SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning
- NeurIPS 2025Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning
- NeurIPS 2025StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs
- NeurIPS 2025STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization
- NeurIPS 2025Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs
- NeurIPS 2025Surprise3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes
- NeurIPS 2025SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
- NeurIPS 2025SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications
- NeurIPS 2025SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
- NeurIPS 2025SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
- NeurIPS 2025System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts
- NeurIPS 2025T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
- NeurIPS 2025Table as a Modality for Large Language Models
- NeurIPS 2025TCM-Ladder: A Benchmark for Multimodal Question Answering on Traditional Chinese Medicine
- NeurIPS 2025Teaching Language Models to Reason with Tools
- NeurIPS 2025TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs
- NeurIPS 2025Test-Time Adaptation by Causal Trimming
- NeurIPS 2025The Dual Nature of Plasticity Loss in Deep Continual Learning: Dissection and Mitigation
- NeurIPS 2025The Emergence of Abstract Thought in Large Language Models Beyond Any Language
- NeurIPS 2025The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models
- NeurIPS 2025The Hawthorne Effect in Reasoning Models: Evaluating and Steering Test Awareness
- NeurIPS 2025The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
- NeurIPS 2025The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training
- NeurIPS 2025The Promise of RL for Autoregressive Image Editing
- NeurIPS 2025The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning
- NeurIPS 2025Think Only When You Need with Large Hybrid-Reasoning Models
- NeurIPS 2025Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens
- NeurIPS 2025Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains
- NeurIPS 2025Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models
- NeurIPS 2025ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
- NeurIPS 2025ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning
- NeurIPS 2025Thinker: Learning to Think Fast and Slow
- NeurIPS 2025Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning
- NeurIPS 2025Thinking vs. Doing: Improving Agent Reasoning by Scaling Test-Time Interaction
- NeurIPS 2025Thinkless: LLM Learns When to Think
- NeurIPS 2025ThinkSound: Chain-of-Thought Reasoning in Multimodal LLMs for Audio Generation and Editing
- NeurIPS 2025Thoughts Are All Over the Place: On the Underthinking of Long Reasoning Models
- NeurIPS 2025TimE: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios
- NeurIPS 2025Titans: Learning to Memorize at Test Time
- NeurIPS 2025TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs
- NeurIPS 2025TOMCAT: Test-time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning
- NeurIPS 2025Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval
- NeurIPS 2025Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task
- NeurIPS 2025Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties
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。