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 46 / 47 页

  1. NeurIPS 2023Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
  2. NeurIPS 2023Self-Chained Image-Language Model for Video Localization and Question Answering
  3. NeurIPS 2023Self-Evaluation Guided Beam Search for Reasoning
  4. NeurIPS 2023Semantic HELM: A Human-Readable Memory for Reinforcement Learning
  5. NeurIPS 2023Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination
  6. NeurIPS 2023Semi-Implicit Denoising Diffusion Models (SIDDMs)
  7. NeurIPS 2023Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots
  8. NeurIPS 2023SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
  9. NeurIPS 2023Skill-it! A data-driven skills framework for understanding and training language models
  10. NeurIPS 2023Smooth, exact rotational symmetrization for deep learning on point clouds
  11. NeurIPS 2023Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models
  12. NeurIPS 2023SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
  13. NeurIPS 2023SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
  14. NeurIPS 2023Sparse Deep Learning for Time Series Data: Theory and Applications
  15. NeurIPS 2023Sparse Parameterization for Epitomic Dataset Distillation
  16. NeurIPS 2023SpecTr: Fast Speculative Decoding via Optimal Transport
  17. NeurIPS 2023Statistically Valid Variable Importance Assessment through Conditional Permutations
  18. NeurIPS 2023Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks
  19. NeurIPS 2023Structural Pruning for Diffusion Models
  20. NeurIPS 2023Structured Prediction with Stronger Consistency Guarantees
  21. NeurIPS 2023Structured State Space Models for In-Context Reinforcement Learning
  22. NeurIPS 2023SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality
  23. NeurIPS 2023SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
  24. NeurIPS 2023SwiFT: Swin 4D fMRI Transformer
  25. NeurIPS 2023Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning
  26. NeurIPS 2023TART: A plug-and-play Transformer module for task-agnostic reasoning
  27. NeurIPS 2023Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
  28. NeurIPS 2023Temporal Dynamic Quantization for Diffusion Models
  29. NeurIPS 2023Test-Time Distribution Normalization for Contrastively Learned Visual-language Models
  30. NeurIPS 2023Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
  31. NeurIPS 2023Text Promptable Surgical Instrument Segmentation with Vision-Language Models
  32. NeurIPS 2023Textually Pretrained Speech Language Models
  33. NeurIPS 2023The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
  34. NeurIPS 2023The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
  35. NeurIPS 2023The geometry of hidden representations of large transformer models
  36. NeurIPS 2023The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
  37. NeurIPS 2023The Learnability of In-Context Learning
  38. NeurIPS 2023The Quantization Model of Neural Scaling
  39. NeurIPS 2023The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit
  40. NeurIPS 2023Three Towers: Flexible Contrastive Learning with Pretrained Image Models
  41. NeurIPS 2023To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
  42. NeurIPS 2023Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
  43. NeurIPS 2023Toolformer: Language Models Can Teach Themselves to Use Tools
  44. NeurIPS 2023ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
  45. NeurIPS 2023Tools for Verifying Neural Models' Training Data
  46. NeurIPS 2023Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification
  47. NeurIPS 2023Topological Parallax: A Geometric Specification for Deep Perception Models
  48. NeurIPS 2023Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning
  49. NeurIPS 2023Towards Optimal Caching and Model Selection for Large Model Inference
  50. NeurIPS 2023Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning

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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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