深度学习 · large language models论文趋势 2023–2026

主要结论

• 深度学习 · large language models论文从 2023 年的 488 篇增长到 2026 年的 1,131 篇，三年间扩大到约 2.3 倍。
• ICML 是发深度学习 · large language models论文最多的会议，2023–2026 年共 1,608 篇，占四个会议总量的 69%。
• 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 5 篇增至 2026 年的 184 篇。
• 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 3；同组增长最快的扩散模型是 4.1 倍，深度学习 · large language models是 2.3 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

• ICML 2026“very likely” Means “uncertain”? How LLMs Diverge from Humans in Linguistic Uncertainty Quantification
• ICML 2025(How) Do Language Models Track State?
• ICLR 2025AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models
• NeurIPS 2024$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
• NeurIPS 20233D-LLM: Injecting the 3D World into Large Language Models
• ICML 2023Are Large Kernels Better Teachers than Transformers for ConvNets?
• ICML 2026$f$-Divergence Self-Play for Tabular Anomaly Detection via Large Language Models
• ICML 2025A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language?
• ICLR 2025Emergence of a High-Dimensional Abstraction Phase in Language Transformers
• NeurIPS 2024$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning
• NeurIPS 2023A fast heuristic to optimize time-space tradeoff for large models
• ICML 2023Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
• ICML 2026$L^3$: Large Lookup Layers
• ICML 2025Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies
• ICLR 2025Holistically Evaluating the Environmental Impact of Creating Language Models
• NeurIPS 2024A distributional simplicity bias in the learning dynamics of transformers
• NeurIPS 2023A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints
• ICML 2023Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
• ICML 2026$V_0$: A Generalist Value Model for Any Policy at State Zero
• ICML 2025Accelerating Unbiased LLM Evaluation via Synthetic Feedback

全部深度学习 · large language models论文

共 415 篇，第 2 / 9 页

51. NeurIPS 2023Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
52. NeurIPS 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
53. NeurIPS 2023Can Language Models Solve Graph Problems in Natural Language?
54. NeurIPS 2023Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization
55. NeurIPS 2023Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
56. NeurIPS 2023Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer
57. NeurIPS 2023CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care
58. NeurIPS 2023Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
59. NeurIPS 2023Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
60. NeurIPS 2023CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
61. NeurIPS 2023Characterizing Out-of-Distribution Error via Optimal Transport
62. NeurIPS 2023Chatting Makes Perfect: Chat-based Image Retrieval
63. NeurIPS 2023Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models
64. NeurIPS 2023CLadder: Assessing Causal Reasoning in Language Models
65. NeurIPS 2023ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
66. NeurIPS 2023Collaborative Alignment of NLP Models
67. NeurIPS 2023CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning
68. NeurIPS 2023ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
69. NeurIPS 2023Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
70. NeurIPS 2023Connecting Pre-trained Language Model and Downstream Task via Properties of Representation
71. NeurIPS 2023Continual Learning for Instruction Following from Realtime Feedback
72. NeurIPS 2023Coop: Memory is not a Commodity
73. NeurIPS 2023Counterfactual Generation with Identifiability Guarantees
74. NeurIPS 2023Counterfactual Memorization in Neural Language Models
75. NeurIPS 2023Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation
76. NeurIPS 2023Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks
77. NeurIPS 2023Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
78. NeurIPS 2023CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
79. NeurIPS 2023D4: Improving LLM Pretraining via Document De-Duplication and Diversification
80. NeurIPS 2023DAC-DETR: Divide the Attention Layers and Conquer
81. NeurIPS 2023Data Augmentations for Improved (Large) Language Model Generalization
82. NeurIPS 2023Deductive Verification of Chain-of-Thought Reasoning
83. NeurIPS 2023Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration
84. NeurIPS 2023Deep Patch Visual Odometry
85. NeurIPS 2023Deep Stochastic Processes via Functional Markov Transition Operators
86. NeurIPS 2023Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
87. NeurIPS 2023Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought
88. NeurIPS 2023Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
89. NeurIPS 2023DesCo: Learning Object Recognition with Rich Language Descriptions
90. NeurIPS 2023Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents
91. NeurIPS 2023Designing Robust Transformers using Robust Kernel Density Estimation
92. NeurIPS 2023Differentiable Random Partition Models
93. NeurIPS 2023Differentially Private Image Classification by Learning Priors from Random Processes
94. NeurIPS 2023DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
95. NeurIPS 2023DiffUTE: Universal Text Editing Diffusion Model
96. NeurIPS 2023Direct Preference Optimization: Your Language Model is Secretly a Reward Model
97. NeurIPS 2023DISCO-10M: A Large-Scale Music Dataset
98. NeurIPS 2023Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
99. NeurIPS 2023Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
100. NeurIPS 2023Distributed Inference and Fine-tuning of Large Language Models Over The Internet

常见问题

2023–2026 年四大会议一共有多少篇深度学习 · large language models论文？

共 2,334 篇，按年份分别是 2023 年 488 篇、2024 年 298 篇、2025 年 417 篇、2026 年 1,131 篇。

NeurIPS 2024 有多少篇深度学习 · large language models论文？

NeurIPS 2024 有 298 篇深度学习 · large language models论文，上一届是 415 篇。

ICLR 2025 有多少篇深度学习 · large language models论文？

ICLR 2025 有 13 篇深度学习 · large language models论文。

ICML 2026 有多少篇深度学习 · large language models论文？

ICML 2026 有 1,131 篇深度学习 · large language models论文，上一届是 404 篇。

哪个会议的深度学习 · large language models论文最多？

ICML，2023–2026 年共 1,608 篇。