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 8 / 10 页

  1. NeurIPS 2023OpenAGI: When LLM Meets Domain Experts
  2. NeurIPS 2023OpenAssistant Conversations - Democratizing Large Language Model Alignment
  3. NeurIPS 2023Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
  4. NeurIPS 2023Pairwise Causality Guided Transformers for Event Sequences
  5. NeurIPS 2023PAPR: Proximity Attention Point Rendering
  6. NeurIPS 2023Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
  7. NeurIPS 2023Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
  8. NeurIPS 2023Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck
  9. NeurIPS 2023Passive learning of active causal strategies in agents and language models
  10. NeurIPS 2023Paxion: Patching Action Knowledge in Video-Language Foundation Models
  11. NeurIPS 2023Pengi: An Audio Language Model for Audio Tasks
  12. NeurIPS 2023Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex
  13. NeurIPS 2023PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
  14. NeurIPS 2023PoET: A generative model of protein families as sequences-of-sequences
  15. NeurIPS 2023PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models
  16. NeurIPS 2023Polyhedron Attention Module: Learning Adaptive-order Interactions
  17. NeurIPS 2023Post Hoc Explanations of Language Models Can Improve Language Models
  18. NeurIPS 2023Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
  19. NeurIPS 2023Preference-grounded Token-level Guidance for Language Model Fine-tuning
  20. NeurIPS 2023Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models
  21. NeurIPS 2023Propagating Knowledge Updates to LMs Through Distillation
  22. NeurIPS 2023ProPILE: Probing Privacy Leakage in Large Language Models
  23. NeurIPS 2023ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design
  24. NeurIPS 2023QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data
  25. NeurIPS 2023Quantification of Uncertainty with Adversarial Models
  26. NeurIPS 2023QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution
  27. NeurIPS 2023RADAR: Robust AI-Text Detection via Adversarial Learning
  28. NeurIPS 2023RaLEs: a Benchmark for Radiology Language Evaluations
  29. NeurIPS 2023Random-Access Infinite Context Length for Transformers
  30. NeurIPS 2023RealTime QA: What's the Answer Right Now?
  31. NeurIPS 2023REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling
  32. NeurIPS 2023Regularizing Neural Networks with Meta-Learning Generative Models
  33. NeurIPS 2023RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
  34. NeurIPS 2023Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests
  35. NeurIPS 2023Reproducibility study of the Fairness-enhanced Node Representation Learning
  36. NeurIPS 2023ResMem: Learn what you can and memorize the rest
  37. NeurIPS 2023Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline
  38. NeurIPS 2023Rethinking Gauss-Newton for learning over-parameterized models
  39. NeurIPS 2023Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale
  40. NeurIPS 2023Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models
  41. NeurIPS 2023REx: Data-Free Residual Quantization Error Expansion
  42. NeurIPS 2023RoboCLIP: One Demonstration is Enough to Learn Robot Policies
  43. NeurIPS 2023Robust Learning with Progressive Data Expansion Against Spurious Correlation
  44. NeurIPS 2023RRHF: Rank Responses to Align Language Models with Human Feedback
  45. NeurIPS 2023S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions
  46. NeurIPS 2023SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
  47. NeurIPS 2023Scale Alone Does not Improve Mechanistic Interpretability in Vision Models
  48. NeurIPS 2023Scaling Laws for Hyperparameter Optimization
  49. NeurIPS 2023Scaling laws for language encoding models in fMRI
  50. NeurIPS 2023Scaling MLPs: A Tale of Inductive Bias

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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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