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 488 篇，第 7 / 10 页

  1. NeurIPS 2023Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution
  2. NeurIPS 2023Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
  3. NeurIPS 2023Learning the Efficient Frontier
  4. NeurIPS 2023Learning threshold neurons via edge of stability
  5. NeurIPS 2023Learning to Compress Prompts with Gist Tokens
  6. NeurIPS 2023Learning to Modulate pre-trained Models in RL
  7. NeurIPS 2023Learning to Reason and Memorize with Self-Notes
  8. NeurIPS 2023Learning to Receive Help: Intervention-Aware Concept Embedding Models
  9. NeurIPS 2023Learning to Taste: A Multimodal Wine Dataset
  10. NeurIPS 2023Learning to Tokenize for Generative Retrieval
  11. NeurIPS 2023Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
  12. NeurIPS 2023Learning Transformer Programs
  13. NeurIPS 2023Learning Visual Prior via Generative Pre-Training
  14. NeurIPS 2023LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
  15. NeurIPS 2023Lexinvariant Language Models
  16. NeurIPS 2023LICO: Explainable Models with Language-Image COnsistency
  17. NeurIPS 2023Likelihood Ratio Confidence Sets for Sequential Decision Making
  18. NeurIPS 2023Likelihood-Based Diffusion Language Models
  19. NeurIPS 2023LIMA: Less Is More for Alignment
  20. NeurIPS 2023LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
  21. NeurIPS 2023LLM-Pruner: On the Structural Pruning of Large Language Models
  22. NeurIPS 2023LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
  23. NeurIPS 2023LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition
  24. NeurIPS 2023Localized Symbolic Knowledge Distillation for Visual Commonsense Models
  25. NeurIPS 2023LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  26. NeurIPS 2023M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models
  27. NeurIPS 2023MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
  28. NeurIPS 2023Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  29. NeurIPS 2023Making Scalable Meta Learning Practical
  30. NeurIPS 2023MarioGPT: Open-Ended Text2Level Generation through Large Language Models
  31. NeurIPS 2023Meet in the Middle: A New Pre-training Paradigm
  32. NeurIPS 2023Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
  33. NeurIPS 2023Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning
  34. NeurIPS 2023Mitigating Test-Time Bias for Fair Image Retrieval
  35. NeurIPS 2023Mnemosyne: Learning to Train Transformers with Transformers
  36. NeurIPS 2023Model Spider: Learning to Rank Pre-Trained Models Efficiently
  37. NeurIPS 2023Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
  38. NeurIPS 2023Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture
  39. NeurIPS 2023MotionGPT: Human Motion as a Foreign Language
  40. NeurIPS 2023Natural Language Instruction-following with Task-related Language Development and Translation
  41. NeurIPS 2023Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
  42. NeurIPS 2023Neural Sampling in Hierarchical Exponential-family Energy-based Models
  43. NeurIPS 2023Neuro-symbolic Learning Yielding Logical Constraints
  44. NeurIPS 2023Non-Rigid Shape Registration via Deep Functional Maps Prior
  45. NeurIPS 2023On Learning Latent Models with Multi-Instance Weak Supervision
  46. NeurIPS 2023On the Exploitability of Instruction Tuning
  47. NeurIPS 2023On the Planning Abilities of Large Language Models - A Critical Investigation
  48. NeurIPS 2023On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
  49. NeurIPS 2023One Fits All: Power General Time Series Analysis by Pretrained LM
  50. NeurIPS 2023One-Step Diffusion Distillation via Deep Equilibrium Models

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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？

AI 会调用的工具：get_topic_stats {"topic": "dl-large-language-models"}

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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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