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 1,799 篇，第 30 / 36 页
- NeurIPS 2026Agents as Neuro-Symbolic Reasoners: Path Feasibility Reasoning for Precise Static Bug Detection
- NeurIPS 2026AI Models Can Provably Hide Arbitrary Capabilities
- NeurIPS 2026AirIAD: Agentic Iterative Reasoning for Industrial Anomaly Detection
- NeurIPS 2026ALTER: An Allen's Algebra-Based Evaluation Framework for Temporal Reasoning of LLMs
- NeurIPS 2026An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models
- NeurIPS 2026ANCHOR: Audio-Visually Grounded Chain-of-Thought Reasoning Benchmark
- NeurIPS 2026Anchoring Reasoning Distillation via Syntactic Constraints
- NeurIPS 2026Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information
- NeurIPS 2026Anymotion: A Dataset, Benchmark, and Baseline for Controllable Human Motion Editing
- NeurIPS 2026Anytime-Valid PAC-Bayes Certificates for Adaptive Test-Time Scaling
- NeurIPS 2026Argument Graph Uncertainty: Quantifying Uncertainty from the Logical Structure of Reasoning Chains
- NeurIPS 2026Attention Drift: What Auto-Regressive Speculative Decoding Models Learn
- NeurIPS 2026Attention-based PCA
- NeurIPS 2026AURA: An Autonomous Retouching Agent with Photographic Visual Thinking
- NeurIPS 2026AutoDataBench: How Far Are LLM Agents from Autonomously Engineering Post-Training Data Pipelines?
- NeurIPS 2026AVIS: Adaptive Test-Time Scaling for Vision–Language Models
- NeurIPS 2026Bayesian Test-Time Inference of Task-Aligned Similarity from Weak Interactive Feedback
- NeurIPS 2026Before It Fades: Reinforcing Temporal Representations at Inference Time in VideoLLMs
- NeurIPS 2026Bernini: Latent Semantic Planning for Video Diffusion
- NeurIPS 2026Best Arm Identification in Generalized Linear Bandits via Hybrid Feedback
- NeurIPS 2026Beyond [SEG] Tokens: Training-Free Video Reasoning Segmentation via Counterfactual Inference and Contrastive Concept
- NeurIPS 2026Beyond Ground Truth: Evaluating Non-Verifiable Reasoning in LLMs through Moral Robustness
- NeurIPS 2026Beyond What Seems Necessary: Hidden Gains from Scaling Training-Time Reasoning Length under Outcome Supervision
- NeurIPS 2026Bias-Variance Optimized Preference Optimization for Large Reasoning Models
- NeurIPS 2026Bits Beat Tokens: A Regret Rate Distortion Theory for Large Language Model Agents
- NeurIPS 2026Block Sparse Flash Attention
- NeurIPS 2026Boosting Inference with Guided Reasoning: Stochastic Exploration for Recursive Models
- NeurIPS 2026Boule or Baguette? A Study on Task Topology, Length Generalization, and the Benefit of Reasoning Trace
- NeurIPS 2026BrainCoT: A Multi-Task Zero-Shot Brain Signal Foundation Model with Neurometric-Anchored Chain-of-Thought Reasoning
- NeurIPS 2026Bridging Compute- and Data-Optimal Pretraining
- NeurIPS 2026Bridging Structure and Language: Graph-Based Visual Reasoning for Autonomous Road Understanding
- NeurIPS 2026CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating
- NeurIPS 2026CausalSpatial: A Benchmark for Object-Centric Causal Spatial Reasoning
- NeurIPS 2026CellularS2-Bench: A Staged, Evidence-Grounded Benchmark for Cellular Network Security Reasoning
- NeurIPS 2026Chain-of-Thought Is Not Explainability
- NeurIPS 2026ChainSpace: A Chained-Reasoning Paradigm for Spatial Intelligence
- NeurIPS 2026ChartArena: A Unified Benchmark with Atomic-Primitive Reasoning for Chart Parsing
- NeurIPS 2026CineMME: Benchmarking Fine-Grained Perception and Plot Reasoning in Multimodal Large Language Models
- NeurIPS 2026CircuitSeer: Mining High-Quality Data by Probing Mathematical Reasoning Circuits in LLMs
- NeurIPS 2026ClusQuant: Mitigating Outliers with Clustering-Based Representations for Low-Precision LRMs
- NeurIPS 2026CME–SpectrumBench: Can LLMs Analyze Condensed Matter Spectral Data?
- NeurIPS 2026Cognitive Firewalls: A Synthetic Account of Cross-Lingual Reasoning Collapse
- NeurIPS 2026Collaborative Reasoning Distillation via Cross-Feedback and Coherent Curation
- NeurIPS 2026Commit Then Explore: Reasoning Models Diversify, Not Converge
- NeurIPS 2026Compute Aligned Training: Optimizing for Test Time Inference
- NeurIPS 2026Compute Allocation Under Model-Provider Competition
- NeurIPS 2026Compute Efficiency and Serial Runtime Tradeoffs for Stochastic Momentum Methods
- NeurIPS 2026Compute-Optimal Pretrain--Fine-tune in Ridge Gradient Flow
- NeurIPS 2026Concise Reasoning Through the Lens of Lagrangian Optimization
- NeurIPS 2026Conditional misalignment: common interventions can hide emergent misalignment behind contextual triggers
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。