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

ICML/NeurIPS 深度学习方向：large_language_models

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,334 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

深度学习 · large language models论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20234150730488
2024298000298
20250134040417
2026001,13101,131

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

全部深度学习 · large language models论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,608 篇，第 32 / 33 页

  1. ICML 2023Controlled Text Generation with Natural Language Instructions
  2. ICML 2023Cramming: Training a Language Model on a single GPU in one day.
  3. ICML 2023DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
  4. ICML 2023Deep linear networks can benignly overfit when shallow ones do
  5. ICML 2023Differentially Private Optimization on Large Model at Small Cost
  6. ICML 2023Distilling Internet-Scale Vision-Language Models into Embodied Agents
  7. ICML 2023Do Machine Learning Models Learn Statistical Rules Inferred from Data?
  8. ICML 2023Doubly Optimal No-Regret Learning in Monotone Games
  9. ICML 2023Dropout Reduces Underfitting
  10. ICML 2023Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
  11. ICML 2023FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
  12. ICML 2023FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization
  13. ICML 2023Grounding Language Models to Images for Multimodal Inputs and Outputs
  14. ICML 2023Guiding Pretraining in Reinforcement Learning with Large Language Models
  15. ICML 2023Hindsight Learning for MDPs with Exogenous Inputs
  16. ICML 2023Hyena Hierarchy: Towards Larger Convolutional Language Models
  17. ICML 2023Identifying Interpretable Subspaces in Image Representations
  18. ICML 2023ILLUME: Rationalizing Vision-Language Models through Human Interactions
  19. ICML 2023Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models
  20. ICML 2023Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
  21. ICML 2023Language Instructed Reinforcement Learning for Human-AI Coordination
  22. ICML 2023Large Language Models Can Be Easily Distracted by Irrelevant Context
  23. ICML 2023Learning Hidden Markov Models When the Locations of Missing Observations are Unknown
  24. ICML 2023Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments
  25. ICML 2023Learning Unnormalized Statistical Models via Compositional Optimization
  26. ICML 2023Learning-augmented private algorithms for multiple quantile release
  27. ICML 2023Learning-Rate-Free Learning by D-Adaptation
  28. ICML 2023Less is More: Task-aware Layer-wise Distillation for Language Model Compression
  29. ICML 2023LEVER: Learning to Verify Language-to-Code Generation with Execution
  30. ICML 2023LongCoder: A Long-Range Pre-trained Language Model for Code Completion
  31. ICML 2023MALTS: Matching After Learning to Stretch
  32. ICML 2023Maximal Initial Learning Rates in Deep ReLU Networks
  33. ICML 2023Minimal Width for Universal Property of Deep RNN
  34. ICML 2023OCD: Learning to Overfit with Conditional Diffusion Models
  35. ICML 2023One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding
  36. ICML 2023PAC Prediction Sets for Large Language Models of Code
  37. ICML 2023Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation
  38. ICML 2023Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
  39. ICML 2023Poisoning Language Models During Instruction Tuning
  40. ICML 2023POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models
  41. ICML 2023Pretraining Language Models with Human Preferences
  42. ICML 2023QASA: Advanced Question Answering on Scientific Articles
  43. ICML 2023Regularizing Towards Soft Equivariance Under Mixed Symmetries
  44. ICML 2023SAM operates far from home: eigenvalue regularization as a dynamical phenomenon
  45. ICML 2023Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
  46. ICML 2023Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
  47. ICML 2023Self-supervised learning of Split Invariant Equivariant representations
  48. ICML 2023SGD with Large Step Sizes Learns Sparse Features
  49. ICML 2023Solving High-Dimensional PDEs with Latent Spectral Models
  50. ICML 2023Special Properties of Gradient Descent with Large Learning Rates

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用 paperlist 查深度学习 · large language models在 ICML 2023–2026 的论文趋势，哪一年涨得最快？

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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。

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