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 415 篇，第 5 / 9 页

  1. NeurIPS 2023Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
  2. NeurIPS 2023Language Models Meet World Models: Embodied Experiences Enhance Language Models
  3. NeurIPS 2023Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
  4. NeurIPS 2023Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset
  5. NeurIPS 2023Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
  6. NeurIPS 2023Large Language Models Are Semi-Parametric Reinforcement Learning Agents
  7. NeurIPS 2023Large Language Models are Visual Reasoning Coordinators
  8. NeurIPS 2023Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
  9. NeurIPS 2023Large Language Models can Implement Policy Iteration
  10. NeurIPS 2023Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
  11. NeurIPS 2023Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language.
  12. NeurIPS 2023Large Language Models of Code Fail at Completing Code with Potential Bugs
  13. NeurIPS 2023Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows
  14. NeurIPS 2023Large sample spectral analysis of graph-based multi-manifold clustering
  15. NeurIPS 2023Large-Scale Distributed Learning via Private On-Device LSH
  16. NeurIPS 2023Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions
  17. NeurIPS 2023LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
  18. NeurIPS 2023LayoutPrompter: Awaken the Design Ability of Large Language Models
  19. NeurIPS 2023LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
  20. NeurIPS 2023Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation
  21. NeurIPS 2023Learning Domain-Aware Detection Head with Prompt Tuning
  22. NeurIPS 2023Learning Large Graph Property Prediction via Graph Segment Training
  23. NeurIPS 2023Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition
  24. NeurIPS 2023Learning Large-scale Neural Fields via Context Pruned Meta-Learning
  25. NeurIPS 2023Learning Mask-aware CLIP Representations for Zero-Shot Segmentation
  26. NeurIPS 2023Learning Mixtures of Gaussians Using the DDPM Objective
  27. NeurIPS 2023Learning Nonparametric Latent Causal Graphs with Unknown Interventions
  28. NeurIPS 2023Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution
  29. NeurIPS 2023Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
  30. NeurIPS 2023Learning the Efficient Frontier
  31. NeurIPS 2023Learning threshold neurons via edge of stability
  32. NeurIPS 2023Learning to Compress Prompts with Gist Tokens
  33. NeurIPS 2023Learning to Modulate pre-trained Models in RL
  34. NeurIPS 2023Learning to Reason and Memorize with Self-Notes
  35. NeurIPS 2023Learning to Receive Help: Intervention-Aware Concept Embedding Models
  36. NeurIPS 2023Learning to Taste: A Multimodal Wine Dataset
  37. NeurIPS 2023Learning to Tokenize for Generative Retrieval
  38. NeurIPS 2023Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
  39. NeurIPS 2023Learning Transformer Programs
  40. NeurIPS 2023Learning Visual Prior via Generative Pre-Training
  41. NeurIPS 2023LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
  42. NeurIPS 2023Lexinvariant Language Models
  43. NeurIPS 2023LICO: Explainable Models with Language-Image COnsistency
  44. NeurIPS 2023Likelihood Ratio Confidence Sets for Sequential Decision Making
  45. NeurIPS 2023Likelihood-Based Diffusion Language Models
  46. NeurIPS 2023LIMA: Less Is More for Alignment
  47. NeurIPS 2023LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
  48. NeurIPS 2023LLM-Pruner: On the Structural Pruning of Large Language Models
  49. NeurIPS 2023LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
  50. NeurIPS 2023LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition

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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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