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 12 / 15 页

  1. NeurIPS 2023M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models
  2. NeurIPS 2023MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
  3. NeurIPS 2023Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  4. NeurIPS 2023Making Scalable Meta Learning Practical
  5. NeurIPS 2023MarioGPT: Open-Ended Text2Level Generation through Large Language Models
  6. NeurIPS 2023Meet in the Middle: A New Pre-training Paradigm
  7. NeurIPS 2023Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
  8. NeurIPS 2023Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning
  9. NeurIPS 2023Mitigating Test-Time Bias for Fair Image Retrieval
  10. NeurIPS 2023Mnemosyne: Learning to Train Transformers with Transformers
  11. NeurIPS 2023Model Spider: Learning to Rank Pre-Trained Models Efficiently
  12. NeurIPS 2023Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
  13. NeurIPS 2023Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture
  14. NeurIPS 2023MotionGPT: Human Motion as a Foreign Language
  15. NeurIPS 2023Natural Language Instruction-following with Task-related Language Development and Translation
  16. NeurIPS 2023Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
  17. NeurIPS 2023Neural Sampling in Hierarchical Exponential-family Energy-based Models
  18. NeurIPS 2023Neuro-symbolic Learning Yielding Logical Constraints
  19. NeurIPS 2023Non-Rigid Shape Registration via Deep Functional Maps Prior
  20. NeurIPS 2023On Learning Latent Models with Multi-Instance Weak Supervision
  21. NeurIPS 2023On the Exploitability of Instruction Tuning
  22. NeurIPS 2023On the Planning Abilities of Large Language Models - A Critical Investigation
  23. NeurIPS 2023On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
  24. NeurIPS 2023One Fits All: Power General Time Series Analysis by Pretrained LM
  25. NeurIPS 2023One-Step Diffusion Distillation via Deep Equilibrium Models
  26. NeurIPS 2023OpenAGI: When LLM Meets Domain Experts
  27. NeurIPS 2023OpenAssistant Conversations - Democratizing Large Language Model Alignment
  28. NeurIPS 2023Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
  29. NeurIPS 2023Pairwise Causality Guided Transformers for Event Sequences
  30. NeurIPS 2023PAPR: Proximity Attention Point Rendering
  31. NeurIPS 2023Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
  32. NeurIPS 2023Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
  33. NeurIPS 2023Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck
  34. NeurIPS 2023Passive learning of active causal strategies in agents and language models
  35. NeurIPS 2023Paxion: Patching Action Knowledge in Video-Language Foundation Models
  36. NeurIPS 2023Pengi: An Audio Language Model for Audio Tasks
  37. NeurIPS 2023Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex
  38. NeurIPS 2023PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
  39. NeurIPS 2023PoET: A generative model of protein families as sequences-of-sequences
  40. NeurIPS 2023PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models
  41. NeurIPS 2023Polyhedron Attention Module: Learning Adaptive-order Interactions
  42. NeurIPS 2023Post Hoc Explanations of Language Models Can Improve Language Models
  43. NeurIPS 2023Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
  44. NeurIPS 2023Preference-grounded Token-level Guidance for Language Model Fine-tuning
  45. NeurIPS 2023Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models
  46. NeurIPS 2023Propagating Knowledge Updates to LMs Through Distillation
  47. NeurIPS 2023ProPILE: Probing Privacy Leakage in Large Language Models
  48. NeurIPS 2023ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design
  49. NeurIPS 2023QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data
  50. NeurIPS 2023Quantification of Uncertainty with Adversarial Models

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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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