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 2,334 篇，第 41 / 47 页

  1. NeurIPS 2023Deductive Verification of Chain-of-Thought Reasoning
  2. NeurIPS 2023Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration
  3. NeurIPS 2023Deep Patch Visual Odometry
  4. NeurIPS 2023Deep Stochastic Processes via Functional Markov Transition Operators
  5. NeurIPS 2023Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
  6. NeurIPS 2023Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought
  7. NeurIPS 2023Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
  8. NeurIPS 2023DesCo: Learning Object Recognition with Rich Language Descriptions
  9. NeurIPS 2023Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents
  10. NeurIPS 2023Designing Robust Transformers using Robust Kernel Density Estimation
  11. NeurIPS 2023Differentiable Random Partition Models
  12. NeurIPS 2023Differentially Private Image Classification by Learning Priors from Random Processes
  13. NeurIPS 2023DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
  14. NeurIPS 2023DiffUTE: Universal Text Editing Diffusion Model
  15. NeurIPS 2023Direct Preference Optimization: Your Language Model is Secretly a Reward Model
  16. NeurIPS 2023DISCO-10M: A Large-Scale Music Dataset
  17. NeurIPS 2023Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
  18. NeurIPS 2023Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
  19. NeurIPS 2023Distributed Inference and Fine-tuning of Large Language Models Over The Internet
  20. NeurIPS 2023Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning
  21. NeurIPS 2023Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
  22. NeurIPS 2023Easy Bayesian Transfer Learning with Informative Priors
  23. NeurIPS 2023Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
  24. NeurIPS 2023Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination
  25. NeurIPS 2023Efficient Beam Tree Recursion
  26. NeurIPS 2023Efficient Diffusion Policies For Offline Reinforcement Learning
  27. NeurIPS 2023Efficient Equivariant Transfer Learning from Pretrained Models
  28. NeurIPS 2023Efficiently incorporating quintuple interactions into geometric deep learning force fields
  29. NeurIPS 2023EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks
  30. NeurIPS 2023EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis
  31. NeurIPS 2023Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
  32. NeurIPS 2023Emergent and Predictable Memorization in Large Language Models
  33. NeurIPS 2023EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning
  34. NeurIPS 2023Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
  35. NeurIPS 2023Epistemic Neural Networks
  36. NeurIPS 2023Estimating Koopman operators with sketching to provably learn large scale dynamical systems
  37. NeurIPS 2023Evaluating and Inducing Personality in Pre-trained Language Models
  38. NeurIPS 2023Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
  39. NeurIPS 2023Evaluating Neuron Interpretation Methods of NLP Models
  40. NeurIPS 2023Evaluating Open-QA Evaluation
  41. NeurIPS 2023Evaluating the Moral Beliefs Encoded in LLMs
  42. NeurIPS 2023Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction
  43. NeurIPS 2023EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning
  44. NeurIPS 2023EvoPrompting: Language Models for Code-Level Neural Architecture Search
  45. NeurIPS 2023Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach
  46. NeurIPS 2023Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture
  47. NeurIPS 2023Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
  48. NeurIPS 2023Exploring Question Decomposition for Zero-Shot VQA
  49. NeurIPS 2023Exposing Attention Glitches with Flip-Flop Language Modeling
  50. NeurIPS 2023Extracting Reward Functions from Diffusion 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？

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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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