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
- 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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 415 | 0 | 73 | 0 | 488 |
| 2024 | 298 | 0 | 0 | 0 | 298 |
| 2025 | 0 | 13 | 404 | 0 | 417 |
| 2026 | 0 | 0 | 1,131 | 0 | 1,131 |
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
- 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 417 篇，第 5 / 9 页
- ICML 2025Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge
- ICML 2025LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
- ICML 2025Let LLM Tell What to Prune and How Much to Prune
- ICML 2025Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries
- ICML 2025LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning
- ICML 2025Liger: Linearizing Large Language Models to Gated Recurrent Structures
- ICML 2025LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
- ICML 2025LLM Data Selection and Utilization via Dynamic Bi-level Optimization
- ICML 2025LLMs Can Reason Faster Only If We Let Them
- ICML 2025LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws
- ICML 2025Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
- ICML 2025Logits are All We Need to Adapt Closed Models
- ICML 2025LongRoPE2: Near-Lossless LLM Context Window Scaling
- ICML 2025Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
- ICML 2025Looking Beyond the Top-1: Transformers Determine Top Tokens in Order
- ICML 2025LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
- ICML 2025MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
- ICML 2025MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning
- ICML 2025MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
- ICML 2025Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More
- ICML 2025MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
- ICML 2025Mastering Board Games by External and Internal Planning with Language Models
- ICML 2025MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations
- ICML 2025MATS: An Audio Language Model under Text-only Supervision
- ICML 2025Maximizing Intermediate Checkpoint Value in LLM Pretraining with Bayesian Optimization
- ICML 2025Memorization Sinks: Isolating Memorization during LLM Training
- ICML 2025Memory Layers at Scale
- ICML 2025MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines
- ICML 2025Metadata Conditioning Accelerates Language Model Pre-training
- ICML 2025Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
- ICML 2025Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
- ICML 2025Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions are Needed in Transformer
- ICML 2025Mixture of Lookup Experts
- ICML 2025MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention
- ICML 2025Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
- ICML 2025Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering
- ICML 2025MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition
- ICML 2025MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance
- ICML 2025MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles
- ICML 2025MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment
- ICML 2025Multi-agent Architecture Search via Agentic Supernet
- ICML 2025Multi-Turn Code Generation Through Single-Step Rewards
- ICML 2025Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity
- ICML 2025NestQuant: nested lattice quantization for matrix products and LLMs
- ICML 2025Neutral residues: revisiting adapters for model extension
- ICML 2025NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
- ICML 2025NExtLong: Toward Effective Long-Context Training without Long Documents
- ICML 2025NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
- ICML 2025NoLiMa: Long-Context Evaluation Beyond Literal Matching
- ICML 2025Non-Asymptotic Length Generalization
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"}
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
- 扩散模型 6,900
- 深度学习 · generative models and autoencoders 4,314
- 深度学习 · self supervised learning 1,958
- 深度学习 · graph neural networks 1,648
- 深度学习 · optimization 953
- 深度学习 · representation learning 802
- 深度学习 · probabilistic methods 637
- 深度学习 · foundation models 536
- 深度学习 · causal inference 316
- 深度学习 · transfer learning 197