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 15 / 71 页
- ICLR 2026Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes
- ICLR 2026Spatial-DISE: A Unified Benchmark for Evaluating Spatial Reasoning in Vision-Language Models
- ICLR 2026SpatiaLab: Can Vision–Language Models Perform Spatial Reasoning in the Wild?
- ICLR 2026SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models
- ICLR 2026SpatialViz-Bench: A Cognitively-Grounded Benchmark for Diagnosing Spatial Visualization in MLLMs
- ICLR 2026Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models
- ICLR 2026Speech World Model: Causal State–Action Planning with Explicit Reasoning for Speech
- ICLR 2026SpeechJudge: Towards Human-Level Judgment for Speech Naturalness
- ICLR 2026SPELL: Self-Play Reinforcement Learning for Evolving Long-Context Language Models
- ICLR 2026SPIKE-RL: Video-LLMs meet Bayesian Surprise
- ICLR 2026SpinBench: Perspective and Rotation as a Lens on Spatial Reasoning in VLMs
- ICLR 2026SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
- ICLR 2026SportR: A Benchmark for Multimodal Large Language Model Reasoning in Sports
- ICLR 2026Spotlight on Token Perception for Multimodal Reinforcement Learning
- ICLR 2026Squeeze the Soaked Sponge: Efficient Off-policy RFT for Large Language Model
- ICLR 2026SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
- ICLR 2026Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
- ICLR 2026STAR-Bench: Probing Deep Spatio-Temporal Reasoning as Audio 4D Intelligence
- ICLR 2026STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models
- ICLR 2026Stop Unnecessary Reflection: Training LRMs for Efficient Reasoning with Adaptive Reflection and Length Coordinated Penalty
- ICLR 2026Strategic Obfuscation of Deceptive Reasoning in Language Models
- ICLR 2026Strategic Scaling of Test-Time Compute: A Bandit Learning Approach
- ICLR 2026StreamingThinker: Large Language Models Can Think While Reading
- ICLR 2026String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation
- ICLR 2026Structure Learning from Time-Series Data with Lag-Agnostic Structural Prior
- ICLR 2026Structured Reasoning for LLMs: A Unified Framework for Efficiency and Explainability
- ICLR 2026Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
- ICLR 2026SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs
- ICLR 2026Synergizing Understanding and Generation with Interleaved Analyzing-Drafting Thinking
- ICLR 2026Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning
- ICLR 2026T1: Tool-integrated Verification for Test-time Compute Scaling in Small Language Models
- ICLR 2026TableMaster: A Recipe to Advance Table Understanding with Language Models
- ICLR 2026TAMMs: Change Understanding and Forecasting in Satellite Image Time Series with Temporal-Aware Multimodal Models
- ICLR 2026TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
- ICLR 2026Teach to Reason Safely: Policy-Guided Safety Tuning for MLRMs
- ICLR 2026Test-Time Adaptation without Source Data for Out-of-Domain Bioactivity Prediction
- ICLR 2026Test-time Domain Generalization for Image Super-resolution
- ICLR 2026Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting
- ICLR 2026Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models
- ICLR 2026TEST-TIME SCALING IN DIFFUSION LLMS VIA HIDDEN SEMI-AUTOREGRESSIVE EXPERTS
- ICLR 2026Test-Time Scaling with Reflective Generative Model
- ICLR 2026Test-time Verification via Optimal Transport: Coverage, ROC, & Sub-optimality
- ICLR 2026The Art of Scaling Reinforcement Learning Compute for LLMs
- ICLR 2026The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward
- ICLR 2026The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think
- ICLR 2026The First Impression Problem: Internal Bias Triggers Overthinking in Reasoning Models
- ICLR 2026The Geometry of Reasoning: Flowing Logics in Representation Space
- ICLR 2026The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
- ICLR 2026The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
- ICLR 2026The Limits of Inference Scaling Through Resampling
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。