Deep learning · large language models papers, 2023–2026
Deep learning area: large_language_models
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,334 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 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 |
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
415 papers, page 9 of 9
- NeurIPS 2023Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution
- NeurIPS 2023WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding
- NeurIPS 2023Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
- NeurIPS 2023WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts
- NeurIPS 2023What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
- NeurIPS 2023What Do Deep Saliency Models Learn about Visual Attention?
- NeurIPS 2023What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models
- NeurIPS 2023When Does Optimizing a Proper Loss Yield Calibration?
- NeurIPS 2023White-Box Transformers via Sparse Rate Reduction
- NeurIPS 2023Why Does Sharpness-Aware Minimization Generalize Better Than SGD?
- NeurIPS 2023Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models
- NeurIPS 2023Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model
- NeurIPS 2023Your representations are in the network: composable and parallel adaptation for large scale models
- NeurIPS 2023YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus
- NeurIPS 2023ZipLM: Inference-Aware Structured Pruning of Language Models
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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.
More in Deep Learning
- Diffusion Models 6,900
- Deep learning · generative models and autoencoders 4,314
- Deep learning · self supervised learning 1,958
- Deep learning · graph neural networks 1,648
- Deep learning · optimization 953
- Deep learning · representation learning 802
- Deep learning · probabilistic methods 637
- Deep learning · foundation models 536
- Deep learning · causal inference 316
- Deep learning · transfer learning 197