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 5 / 10 页

  1. NeurIPS 2023Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
  2. NeurIPS 2023Exploring Question Decomposition for Zero-Shot VQA
  3. NeurIPS 2023Exposing Attention Glitches with Flip-Flop Language Modeling
  4. NeurIPS 2023Extracting Reward Functions from Diffusion Models
  5. NeurIPS 2023Fairness-guided Few-shot Prompting for Large Language Models
  6. NeurIPS 2023Faith and Fate: Limits of Transformers on Compositionality
  7. NeurIPS 2023Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training
  8. NeurIPS 2023Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention
  9. NeurIPS 2023Fast Attention Requires Bounded Entries
  10. NeurIPS 2023Feature-Learning Networks Are Consistent Across Widths At Realistic Scales
  11. NeurIPS 2023Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation
  12. NeurIPS 2023Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
  13. NeurIPS 2023Fine-Tuning Language Models with Just Forward Passes
  14. NeurIPS 2023Flow: Per-instance Personalized Federated Learning
  15. NeurIPS 2023FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
  16. NeurIPS 2023From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader
  17. NeurIPS 2023Generating Images with Multimodal Language Models
  18. NeurIPS 2023Generating QM1B with PySCF$_{\text{IPU}}$
  19. NeurIPS 2023Geometric Transformer with Interatomic Positional Encoding
  20. NeurIPS 2023Geometry-Aware Adaptation for Pretrained Models
  21. NeurIPS 2023Geometry-Informed Neural Operator for Large-Scale 3D PDEs
  22. NeurIPS 2023GEQ: Gaussian Kernel Inspired Equilibrium Models
  23. NeurIPS 2023GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
  24. NeurIPS 2023Global Optimality in Bivariate Gradient-based DAG Learning
  25. NeurIPS 2023Goal Driven Discovery of Distributional Differences via Language Descriptions
  26. NeurIPS 2023GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
  27. NeurIPS 2023Gradient-Based Feature Learning under Structured Data
  28. NeurIPS 2023Grammar Prompting for Domain-Specific Language Generation with Large Language Models
  29. NeurIPS 2023GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
  30. NeurIPS 2023Grassmann Manifold Flows for Stable Shape Generation
  31. NeurIPS 2023Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
  32. NeurIPS 2023Guiding Large Language Models via Directional Stimulus Prompting
  33. NeurIPS 2023Guiding The Last Layer in Federated Learning with Pre-Trained Models
  34. NeurIPS 2023H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
  35. NeurIPS 2023High dimensional, tabular deep learning with an auxiliary knowledge graph
  36. NeurIPS 2023High-dimensional Contextual Bandit Problem without Sparsity
  37. NeurIPS 2023HIQL: Offline Goal-Conditioned RL with Latent States as Actions
  38. NeurIPS 2023HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count
  39. NeurIPS 2023Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
  40. NeurIPS 2023HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection
  41. NeurIPS 2023Human spatiotemporal pattern learning as probabilistic program synthesis
  42. NeurIPS 2023Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
  43. NeurIPS 2023HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
  44. NeurIPS 2023HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
  45. NeurIPS 2023IBA: Towards Irreversible Backdoor Attacks in Federated Learning
  46. NeurIPS 2023Im-Promptu: In-Context Composition from Image Prompts
  47. NeurIPS 2023Image Captioners Are Scalable Vision Learners Too
  48. NeurIPS 2023Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models
  49. NeurIPS 2023Implicit Variational Inference for High-Dimensional Posteriors
  50. NeurIPS 2023Improving Adversarial Transferability via Intermediate-level Perturbation Decay

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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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