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 932 篇,第 4 / 19 页
- ICLR 2025Improving Reasoning Performance in Large Language Models via Representation Engineering
- ICLR 2025Inference Scaling for Long-Context Retrieval Augmented Generation
- ICLR 2025Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving
- ICLR 2025Interpreting Emergent Planning in Model-Free Reinforcement Learning
- ICLR 2025Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist
- ICLR 2025KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models
- ICLR 2025KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks
- ICLR 2025Language-Image Models with 3D Understanding
- ICLR 2025Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation
- ICLR 2025Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
- ICLR 2025Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
- ICLR 2025Lean-STaR: Learning to Interleave Thinking and Proving
- ICLR 2025Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
- ICLR 2025Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
- ICLR 2025Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
- ICLR 2025Lines of Thought in Large Language Models
- ICLR 2025LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases
- ICLR 2025Logically Consistent Language Models via Neuro-Symbolic Integration
- ICLR 2025Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
- ICLR 2025MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science
- ICLR 2025Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
- ICLR 2025MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code
- ICLR 2025MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
- ICLR 2025MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
- ICLR 2025Mechanism and Emergence of Stacked Attention Heads in Multi-Layer Transformers
- ICLR 2025metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
- ICLR 2025Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
- ICLR 2025Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning
- ICLR 2025MIND: Math Informed syNthetic Dialogues for Pretraining LLMs
- ICLR 2025MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
- ICLR 2025Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
- ICLR 2025Mixture of Parrots: Experts improve memorization more than reasoning
- ICLR 2025MLPs Learn In-Context on Regression and Classification Tasks
- ICLR 2025MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
- ICLR 2025MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
- ICLR 2025Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solver
- ICLR 2025NL-Eye: Abductive NLI For Images
- ICLR 2025Node-Time Conditional Prompt Learning in Dynamic Graphs
- ICLR 2025Non-myopic Generation of Language Models for Reasoning and Planning
- ICLR 2025Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning
- ICLR 2025Number Cookbook: Number Understanding of Language Models and How to Improve It
- ICLR 2025NutriBench: A Dataset for Evaluating Large Language Models in Nutrition Estimation from Meal Descriptions
- ICLR 2025OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
- ICLR 2025OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities
- ICLR 2025On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
- ICLR 2025On the Adversarial Vulnerability of Label-Free Test-Time Adaptation
- ICLR 2025On the self-verification limitations of large language models on reasoning and planning tasks
- ICLR 2025OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning
- ICLR 2025Personality Alignment of Large Language Models
- ICLR 2025Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process
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。