推理模型论文趋势 2023–2026

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。

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 121 篇，第 2 / 3 页

51. NeurIPS 2024Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing
52. NeurIPS 2024Instance-adaptive Zero-shot Chain-of-Thought Prompting
53. NeurIPS 2024Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
54. NeurIPS 2024Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
55. NeurIPS 2024Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
56. NeurIPS 2024Iteration Head: A Mechanistic Study of Chain-of-Thought
57. NeurIPS 2024Iterative Reasoning Preference Optimization
58. NeurIPS 2024JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
59. NeurIPS 2024KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension
60. NeurIPS 2024Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
61. NeurIPS 2024Learning Formal Mathematics From Intrinsic Motivation
62. NeurIPS 2024Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios
63. NeurIPS 2024Learning to Reason via Program Generation, Emulation, and Search
64. NeurIPS 2024Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models
65. NeurIPS 2024LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low Resource and Extinct Languages
66. NeurIPS 2024LLMDFA: Analyzing Dataflow in Code with Large Language Models
67. NeurIPS 2024LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
68. NeurIPS 2024MAmmoTH2: Scaling Instructions from the Web
69. NeurIPS 2024Many-Shot In-Context Learning
70. NeurIPS 2024Mars: Situated Inductive Reasoning in an Open-World Environment
71. NeurIPS 2024MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning
72. NeurIPS 2024MathPile: A Billion-Token-Scale Pretraining Corpus for Math
73. NeurIPS 2024Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
74. NeurIPS 2024Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset
75. NeurIPS 2024MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning
76. NeurIPS 2024MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations
77. NeurIPS 2024Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
78. NeurIPS 2024Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
79. NeurIPS 2024MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages
80. NeurIPS 2024MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs
81. NeurIPS 2024Multi-modal Situated Reasoning in 3D Scenes
82. NeurIPS 2024MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
83. NeurIPS 2024Natural Counterfactuals With Necessary Backtracking
84. NeurIPS 2024NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
85. NeurIPS 2024NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks
86. NeurIPS 2024Neuro-Symbolic Data Generation for Math Reasoning
87. NeurIPS 2024Observational Scaling Laws and the Predictability of Langauge Model Performance
88. NeurIPS 2024OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
89. NeurIPS 2024On the Inductive Bias of Stacking Towards Improving Reasoning
90. NeurIPS 2024On the Power of Decision Trees in Auto-Regressive Language Modeling
91. NeurIPS 2024One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
92. NeurIPS 2024Open-Book Neural Algorithmic Reasoning
93. NeurIPS 2024OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
94. NeurIPS 2024PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition
95. NeurIPS 2024PUZZLES: A Benchmark for Neural Algorithmic Reasoning
96. NeurIPS 2024ReMI: A Dataset for Reasoning with Multiple Images
97. NeurIPS 2024ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos
98. NeurIPS 2024SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models
99. NeurIPS 2024SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures
100. NeurIPS 2024Self-playing Adversarial Language Game Enhances LLM Reasoning

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。