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 713 篇，第 13 / 15 页

  1. NeurIPS 2023QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution
  2. NeurIPS 2023RADAR: Robust AI-Text Detection via Adversarial Learning
  3. NeurIPS 2023RaLEs: a Benchmark for Radiology Language Evaluations
  4. NeurIPS 2023Random-Access Infinite Context Length for Transformers
  5. NeurIPS 2023RealTime QA: What's the Answer Right Now?
  6. NeurIPS 2023REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling
  7. NeurIPS 2023Regularizing Neural Networks with Meta-Learning Generative Models
  8. NeurIPS 2023RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
  9. NeurIPS 2023Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests
  10. NeurIPS 2023Reproducibility study of the Fairness-enhanced Node Representation Learning
  11. NeurIPS 2023ResMem: Learn what you can and memorize the rest
  12. NeurIPS 2023Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline
  13. NeurIPS 2023Rethinking Gauss-Newton for learning over-parameterized models
  14. NeurIPS 2023Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale
  15. NeurIPS 2023Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models
  16. NeurIPS 2023REx: Data-Free Residual Quantization Error Expansion
  17. NeurIPS 2023RoboCLIP: One Demonstration is Enough to Learn Robot Policies
  18. NeurIPS 2023Robust Learning with Progressive Data Expansion Against Spurious Correlation
  19. NeurIPS 2023RRHF: Rank Responses to Align Language Models with Human Feedback
  20. NeurIPS 2023S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions
  21. NeurIPS 2023SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
  22. NeurIPS 2023Scale Alone Does not Improve Mechanistic Interpretability in Vision Models
  23. NeurIPS 2023Scaling Laws for Hyperparameter Optimization
  24. NeurIPS 2023Scaling laws for language encoding models in fMRI
  25. NeurIPS 2023Scaling MLPs: A Tale of Inductive Bias
  26. NeurIPS 2023Scaling Riemannian Diffusion Models
  27. NeurIPS 2023Schema-learning and rebinding as mechanisms of in-context learning and emergence
  28. NeurIPS 2023Scientific Document Retrieval using Multi-level Aspect-based Queries
  29. NeurIPS 2023Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time
  30. NeurIPS 2023Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
  31. NeurIPS 2023Self-Chained Image-Language Model for Video Localization and Question Answering
  32. NeurIPS 2023Self-Evaluation Guided Beam Search for Reasoning
  33. NeurIPS 2023Semantic HELM: A Human-Readable Memory for Reinforcement Learning
  34. NeurIPS 2023Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination
  35. NeurIPS 2023Semi-Implicit Denoising Diffusion Models (SIDDMs)
  36. NeurIPS 2023Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots
  37. NeurIPS 2023SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
  38. NeurIPS 2023Skill-it! A data-driven skills framework for understanding and training language models
  39. NeurIPS 2023Smooth, exact rotational symmetrization for deep learning on point clouds
  40. NeurIPS 2023Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models
  41. NeurIPS 2023SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
  42. NeurIPS 2023SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
  43. NeurIPS 2023Sparse Deep Learning for Time Series Data: Theory and Applications
  44. NeurIPS 2023Sparse Parameterization for Epitomic Dataset Distillation
  45. NeurIPS 2023SpecTr: Fast Speculative Decoding via Optimal Transport
  46. NeurIPS 2023Statistically Valid Variable Importance Assessment through Conditional Permutations
  47. NeurIPS 2023Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks
  48. NeurIPS 2023Structural Pruning for Diffusion Models
  49. NeurIPS 2023Structured Prediction with Stronger Consistency Guarantees
  50. NeurIPS 2023Structured State Space Models for In-Context Reinforcement 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？

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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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