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 4 / 9 页

  1. NeurIPS 2023Global Optimality in Bivariate Gradient-based DAG Learning
  2. NeurIPS 2023Goal Driven Discovery of Distributional Differences via Language Descriptions
  3. NeurIPS 2023GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
  4. NeurIPS 2023Gradient-Based Feature Learning under Structured Data
  5. NeurIPS 2023Grammar Prompting for Domain-Specific Language Generation with Large Language Models
  6. NeurIPS 2023GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
  7. NeurIPS 2023Grassmann Manifold Flows for Stable Shape Generation
  8. NeurIPS 2023Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
  9. NeurIPS 2023Guiding Large Language Models via Directional Stimulus Prompting
  10. NeurIPS 2023Guiding The Last Layer in Federated Learning with Pre-Trained Models
  11. NeurIPS 2023H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
  12. NeurIPS 2023High dimensional, tabular deep learning with an auxiliary knowledge graph
  13. NeurIPS 2023High-dimensional Contextual Bandit Problem without Sparsity
  14. NeurIPS 2023HIQL: Offline Goal-Conditioned RL with Latent States as Actions
  15. NeurIPS 2023HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count
  16. NeurIPS 2023Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
  17. NeurIPS 2023HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection
  18. NeurIPS 2023Human spatiotemporal pattern learning as probabilistic program synthesis
  19. NeurIPS 2023Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
  20. NeurIPS 2023HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
  21. NeurIPS 2023HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
  22. NeurIPS 2023IBA: Towards Irreversible Backdoor Attacks in Federated Learning
  23. NeurIPS 2023Im-Promptu: In-Context Composition from Image Prompts
  24. NeurIPS 2023Image Captioners Are Scalable Vision Learners Too
  25. NeurIPS 2023Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models
  26. NeurIPS 2023Implicit Variational Inference for High-Dimensional Posteriors
  27. NeurIPS 2023Improving Adversarial Transferability via Intermediate-level Perturbation Decay
  28. NeurIPS 2023Improving CLIP Training with Language Rewrites
  29. NeurIPS 2023Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data
  30. NeurIPS 2023In-Context Impersonation Reveals Large Language Models' Strengths and Biases
  31. NeurIPS 2023In-Context Learning Unlocked for Diffusion Models
  32. NeurIPS 2023Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  33. NeurIPS 2023Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives
  34. NeurIPS 2023Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision
  35. NeurIPS 2023Intervention Generalization: A View from Factor Graph Models
  36. NeurIPS 2023Intriguing Properties of Quantization at Scale
  37. NeurIPS 2023Is Distance Matrix Enough for Geometric Deep Learning?
  38. NeurIPS 2023Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
  39. NeurIPS 2023KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training
  40. NeurIPS 2023Kiki or Bouba? Sound Symbolism in Vision-and-Language Models
  41. NeurIPS 2023Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
  42. NeurIPS 2023L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors
  43. NeurIPS 2023LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark
  44. NeurIPS 2023LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
  45. NeurIPS 2023Language Is Not All You Need: Aligning Perception with Language Models
  46. NeurIPS 2023Language Model Alignment with Elastic Reset
  47. NeurIPS 2023Language Model Tokenizers Introduce Unfairness Between Languages
  48. NeurIPS 2023Language Models are Weak Learners
  49. NeurIPS 2023Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
  50. NeurIPS 2023Language Models can Solve Computer Tasks

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

「深度学习」下的其他主题