深度学习 · large language models论文趋势 2023–2026

主要结论

• 深度学习 · large language models论文从 2023 年的 488 篇增长到 2026 年的 1,131 篇，三年间扩大到约 2.3 倍。
• ICML 是发深度学习 · large language models论文最多的会议，2023–2026 年共 1,608 篇，占四个会议总量的 69%。
• 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 5 篇增至 2026 年的 184 篇。
• 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 3；同组增长最快的扩散模型是 4.1 倍，深度学习 · large language models是 2.3 倍。

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

• ICML 2026“very likely” Means “uncertain”? How LLMs Diverge from Humans in Linguistic Uncertainty Quantification
• ICML 2025(How) Do Language Models Track State?
• ICLR 2025AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models
• NeurIPS 2024$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
• NeurIPS 20233D-LLM: Injecting the 3D World into Large Language Models
• ICML 2023Are Large Kernels Better Teachers than Transformers for ConvNets?
• ICML 2026$f$-Divergence Self-Play for Tabular Anomaly Detection via Large Language Models
• ICML 2025A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language?
• ICLR 2025Emergence of a High-Dimensional Abstraction Phase in Language Transformers
• NeurIPS 2024$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning
• NeurIPS 2023A fast heuristic to optimize time-space tradeoff for large models
• ICML 2023Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
• ICML 2026$L^3$: Large Lookup Layers
• ICML 2025Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies
• ICLR 2025Holistically Evaluating the Environmental Impact of Creating Language Models
• NeurIPS 2024A distributional simplicity bias in the learning dynamics of transformers
• NeurIPS 2023A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints
• ICML 2023Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
• ICML 2026$V_0$: A Generalist Value Model for Any Policy at State Zero
• ICML 2025Accelerating Unbiased LLM Evaluation via Synthetic Feedback

全部深度学习 · large language models论文

共 415 篇，第 1 / 9 页

1. NeurIPS 2023[Re] CrossWalk: Fairness-enhanced Node Representation Learning
2. NeurIPS 20233D-LLM: Injecting the 3D World into Large Language Models
3. NeurIPS 2023A Computationally Efficient Sparsified Online Newton Method
4. NeurIPS 2023A fast heuristic to optimize time-space tradeoff for large models
5. NeurIPS 2023A Path to Simpler Models Starts With Noise
6. NeurIPS 2023A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints
7. NeurIPS 2023A Scalable Neural Network for DSIC Affine Maximizer Auction Design
8. NeurIPS 2023Active Learning-Based Species Range Estimation
9. NeurIPS 2023AdANNS: A Framework for Adaptive Semantic Search
10. NeurIPS 2023ADGym: Design Choices for Deep Anomaly Detection
11. NeurIPS 2023Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
12. NeurIPS 2023Agnostically Learning Single-Index Models using Omnipredictors
13. NeurIPS 2023AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning
14. NeurIPS 2023AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs
15. NeurIPS 2023ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers
16. NeurIPS 2023Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
17. NeurIPS 2023Aligning Language Models with Human Preferences via a Bayesian Approach
18. NeurIPS 2023AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
19. NeurIPS 2023AmadeusGPT: a natural language interface for interactive animal behavioral analysis
20. NeurIPS 2023American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers
21. NeurIPS 2023An Empirical Investigation of the Role of Pre-training in Lifelong Learning
22. NeurIPS 2023An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions
23. NeurIPS 2023ANPL: Towards Natural Programming with Interactive Decomposition
24. NeurIPS 2023Are aligned neural networks adversarially aligned?
25. NeurIPS 2023Are Emergent Abilities of Large Language Models a Mirage?
26. NeurIPS 2023ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training
27. NeurIPS 2023ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
28. NeurIPS 2023Augmenting Language Models with Long-Term Memory
29. NeurIPS 2023Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
30. NeurIPS 2023AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions
31. NeurIPS 2023AVIS: Autonomous Visual Information Seeking with Large Language Model Agent
32. NeurIPS 2023Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance
33. NeurIPS 2023Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
34. NeurIPS 2023BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset
35. NeurIPS 2023Benchmarking Foundation Models with Language-Model-as-an-Examiner
36. NeurIPS 2023Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset
37. NeurIPS 2023BERT Lost Patience Won't Be Robust to Adversarial Slowdown
38. NeurIPS 2023Best Arm Identification with Fixed Budget: A Large Deviation Perspective
39. NeurIPS 2023Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation
40. NeurIPS 2023Beyond Confidence: Reliable Models Should Also Consider Atypicality
41. NeurIPS 2023BiMatting: Efficient Video Matting via Binarization
42. NeurIPS 2023BIOT: Biosignal Transformer for Cross-data Learning in the Wild
43. NeurIPS 2023Birth of a Transformer: A Memory Viewpoint
44. NeurIPS 2023Block-State Transformers
45. NeurIPS 2023Blockwise Parallel Transformers for Large Context Models
46. NeurIPS 2023BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information
47. NeurIPS 2023Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks
48. NeurIPS 2023Bootstrapping Vision-Language Learning with Decoupled Language Pre-training
49. NeurIPS 2023Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff
50. NeurIPS 2023Boundary Guided Learning-Free Semantic Control with Diffusion Models

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。