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 996 篇，第 2 / 20 页

51. ICLR 2026BeyondBench: Benchmark-Free Evaluation of Reasoning in Language Models
52. ICLR 2026Bongard-RWR+: Real-World Representations of Fine-Grained Concepts in Bongard Problems
53. ICLR 2026Boosting Multi-Domain Reasoning of LLMs via Curvature-Guided Policy Optimization
54. ICLR 2026Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning
55. ICLR 2026Bound by semanticity: universal laws governing the generalization-identification tradeoff
56. ICLR 2026Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and Beyond
57. ICLR 2026Branch and Bound Search for Exact MAP Inference in Credal Networks
58. ICLR 2026Buckingham $\pi$-Invariant Test‑Time Projection for Robust PDE Surrogate Modeling
59. ICLR 2026ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer
60. ICLR 2026C-Voting: Confidence-Based Test-Time Voting without Explicit Energy Functions
61. ICLR 2026Can Large Language Models Match the Conclusions of Systematic Reviews?
62. ICLR 2026Can Speech LLMs Think while Listening?
63. ICLR 2026Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks
64. ICLR 2026CaTS: Calibrated Test-Time Scaling for Efficient LLM Reasoning
65. ICLR 2026Causally Robust Preference Learning with Reasons
66. ICLR 2026CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
67. ICLR 2026ChainGPT: Dual-Reasoning Model with Recurrent Depth and Multi-Rank State Updates
68. ICLR 2026Characterizing and Mitigating Reasoning Drift in Large Language Models
69. ICLR 2026Characterizing Pattern Matching and Its Limits on Compositional Task Structures
70. ICLR 2026Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs
71. ICLR 2026CircuitSense: A Hierarchical Circuit System Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design Process
72. ICLR 2026CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning
73. ICLR 2026CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density
74. ICLR 2026Command-V: Training-Free Representation Finetuning Transfer
75. ICLR 2026Compose and Fuse: Revisiting the Foundational Bottlenecks in Multimodal Reasoning
76. ICLR 2026Composition-Grounded Instruction Synthesis for Visual Reasoning
77. ICLR 2026Compositional Generalization from Learned Skills via CoT Training: A Theoretical and Structural Analysis for Reasoning
78. ICLR 2026Compositional Generalization through Gradient Search in Nonparametric Latent Space
79. ICLR 2026Compositional-ARC: Assessing Systematic Generalization in Abstract Spatial Reasoning
80. ICLR 2026Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models
81. ICLR 2026ContextPRM: Leveraging Contextual Coherence for multi-domain Test-Time Scaling
82. ICLR 2026Continuous Chain of Thought Enables Parallel Exploration and Reasoning
83. ICLR 2026Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal Reasoning
84. ICLR 2026Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs
85. ICLR 2026CoPRS: Learning Positional Prior from Chain-of-Thought for Reasoning Segmentation
86. ICLR 2026CORE: Concept-Oriented Reinforcement for Bridging the Definition–Application Gap in Mathematical Reasoning
87. ICLR 2026COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series Forecasting
88. ICLR 2026Cost-of-Pass: An Economic Framework for Evaluating Language Models
89. ICLR 2026CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs
90. ICLR 2026CoT-Evo: Evolutionary Distillation of Chain-of-Thought for Scientific Reasoning
91. ICLR 2026CoT-RVS: Zero-Shot Chain-of-Thought Reasoning Segmentation for Videos
92. ICLR 2026Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards
93. ICLR 2026Counterfactual Reasoning for Retrieval-Augmented Generation
94. ICLR 2026Critique-Coder: Enhancing Coder Models by Critique Reinforcement Learning
95. ICLR 2026Critique-RL: Training Critiquing Language Models Through Two-Stage RL for Improved Discrimination and Constructive Feedback
96. ICLR 2026CubeBench: Diagnosing Interactive, Long-Horizon Physical Intelligence under Partial Observations
97. ICLR 2026CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs
98. ICLR 2026CyclicReflex: Improving Reasoning Models via Cyclical Reflection Token Scheduling
99. ICLR 2026DAG-Math: Graph-Guided Mathematical Reasoning in LLMs
100. ICLR 2026Deep Think with Confidence

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。