Deep learning · large language models papers, 2023–2026

Key findings

• Deep learning · large language models went from 488 papers in 2023 to 1,131 in 2026, roughly 2.3x in three years.
• ICML publishes the most Deep learning · large language models work: 1,608 papers from 2023 to 2026, 69% of the four-venue total.
• The fastest-growing overlap is with AI Agents: papers tagged with both rose from 5 in 2023 to 184 in 2026.
• Among the 11 topics under Deep Learning, it ranks #3 by 2026 paper count; the fastest grower in the group, Diffusion Models, is up 4.1x versus 2.3x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Deep learning · large language models papers

2,334 papers, page 44 of 47

2151. NeurIPS 2023Learning to Compress Prompts with Gist Tokens
2152. NeurIPS 2023Learning to Modulate pre-trained Models in RL
2153. NeurIPS 2023Learning to Reason and Memorize with Self-Notes
2154. NeurIPS 2023Learning to Receive Help: Intervention-Aware Concept Embedding Models
2155. NeurIPS 2023Learning to Taste: A Multimodal Wine Dataset
2156. NeurIPS 2023Learning to Tokenize for Generative Retrieval
2157. NeurIPS 2023Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
2158. NeurIPS 2023Learning Transformer Programs
2159. NeurIPS 2023Learning Visual Prior via Generative Pre-Training
2160. NeurIPS 2023LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
2161. NeurIPS 2023Lexinvariant Language Models
2162. NeurIPS 2023LICO: Explainable Models with Language-Image COnsistency
2163. NeurIPS 2023Likelihood Ratio Confidence Sets for Sequential Decision Making
2164. NeurIPS 2023Likelihood-Based Diffusion Language Models
2165. NeurIPS 2023LIMA: Less Is More for Alignment
2166. NeurIPS 2023LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
2167. NeurIPS 2023LLM-Pruner: On the Structural Pruning of Large Language Models
2168. NeurIPS 2023LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
2169. NeurIPS 2023LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition
2170. NeurIPS 2023Localized Symbolic Knowledge Distillation for Visual Commonsense Models
2171. NeurIPS 2023LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
2172. NeurIPS 2023M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models
2173. NeurIPS 2023MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
2174. NeurIPS 2023Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
2175. NeurIPS 2023Making Scalable Meta Learning Practical
2176. NeurIPS 2023MarioGPT: Open-Ended Text2Level Generation through Large Language Models
2177. NeurIPS 2023Meet in the Middle: A New Pre-training Paradigm
2178. NeurIPS 2023Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
2179. NeurIPS 2023Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning
2180. NeurIPS 2023Mitigating Test-Time Bias for Fair Image Retrieval
2181. NeurIPS 2023Mnemosyne: Learning to Train Transformers with Transformers
2182. NeurIPS 2023Model Spider: Learning to Rank Pre-Trained Models Efficiently
2183. NeurIPS 2023Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
2184. NeurIPS 2023Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture
2185. NeurIPS 2023MotionGPT: Human Motion as a Foreign Language
2186. NeurIPS 2023Natural Language Instruction-following with Task-related Language Development and Translation
2187. NeurIPS 2023Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
2188. NeurIPS 2023Neural Sampling in Hierarchical Exponential-family Energy-based Models
2189. NeurIPS 2023Neuro-symbolic Learning Yielding Logical Constraints
2190. NeurIPS 2023Non-Rigid Shape Registration via Deep Functional Maps Prior
2191. NeurIPS 2023On Learning Latent Models with Multi-Instance Weak Supervision
2192. NeurIPS 2023On the Exploitability of Instruction Tuning
2193. NeurIPS 2023On the Planning Abilities of Large Language Models - A Critical Investigation
2194. NeurIPS 2023On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
2195. NeurIPS 2023One Fits All: Power General Time Series Analysis by Pretrained LM
2196. NeurIPS 2023One-Step Diffusion Distillation via Deep Equilibrium Models
2197. NeurIPS 2023OpenAGI: When LLM Meets Domain Experts
2198. NeurIPS 2023OpenAssistant Conversations - Democratizing Large Language Model Alignment
2199. NeurIPS 2023Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
2200. NeurIPS 2023Pairwise Causality Guided Transformers for Event Sequences

FAQ

How many Deep learning · large language models papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

2,334 in total: 488 in 2023, 298 in 2024, 417 in 2025, 1,131 in 2026.

How many Deep learning · large language models papers are at NeurIPS 2024?

NeurIPS 2024 has 298 Deep learning · large language models papers, versus 415 the year before.

How many Deep learning · large language models papers are at ICLR 2025?

ICLR 2025 has 13 Deep learning · large language models papers.

How many Deep learning · large language models papers are at ICML 2026?

ICML 2026 has 1,131 Deep learning · large language models papers, versus 404 the year before.

Which conference publishes the most Deep learning · large language models papers?

ICML, with 1,608 papers from 2023 to 2026.