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 311 篇，第 6 / 7 页
- NeurIPS 2024Learning Formal Mathematics From Intrinsic Motivation
- NeurIPS 2024Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios
- NeurIPS 2024Learning to Reason via Program Generation, Emulation, and Search
- NeurIPS 2024Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models
- NeurIPS 2024LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low Resource and Extinct Languages
- NeurIPS 2024LLMDFA: Analyzing Dataflow in Code with Large Language Models
- NeurIPS 2024LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
- NeurIPS 2024MAmmoTH2: Scaling Instructions from the Web
- NeurIPS 2024Many-Shot In-Context Learning
- NeurIPS 2024Mars: Situated Inductive Reasoning in an Open-World Environment
- NeurIPS 2024MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning
- NeurIPS 2024MathPile: A Billion-Token-Scale Pretraining Corpus for Math
- NeurIPS 2024Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
- NeurIPS 2024Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset
- NeurIPS 2024MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning
- NeurIPS 2024MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations
- NeurIPS 2024Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
- NeurIPS 2024Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
- NeurIPS 2024MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages
- NeurIPS 2024MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs
- NeurIPS 2024Multi-modal Situated Reasoning in 3D Scenes
- NeurIPS 2024MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
- NeurIPS 2024Natural Counterfactuals With Necessary Backtracking
- NeurIPS 2024NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
- NeurIPS 2024NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks
- NeurIPS 2024Neuro-Symbolic Data Generation for Math Reasoning
- NeurIPS 2024Observational Scaling Laws and the Predictability of Langauge Model Performance
- NeurIPS 2024OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
- NeurIPS 2024On the Inductive Bias of Stacking Towards Improving Reasoning
- NeurIPS 2024On the Power of Decision Trees in Auto-Regressive Language Modeling
- NeurIPS 2024One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
- NeurIPS 2024Open-Book Neural Algorithmic Reasoning
- NeurIPS 2024OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
- NeurIPS 2024PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition
- NeurIPS 2024PUZZLES: A Benchmark for Neural Algorithmic Reasoning
- NeurIPS 2024ReMI: A Dataset for Reasoning with Multiple Images
- NeurIPS 2024ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos
- NeurIPS 2024SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models
- NeurIPS 2024SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures
- NeurIPS 2024Self-playing Adversarial Language Game Enhances LLM Reasoning
- NeurIPS 2024SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
- NeurIPS 2024SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types
- NeurIPS 2024SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation
- NeurIPS 2024SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
- NeurIPS 2024Slot State Space Models
- NeurIPS 2024SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization
- NeurIPS 2024SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors
- NeurIPS 2024SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models
- NeurIPS 2024SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
- NeurIPS 2024StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving
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。