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 2,334 篇，第 44 / 47 页

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

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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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