Multimodal LLMs papers, 2023–2026

Key findings

• Multimodal LLMs went from 1,226 papers in 2023 to 5,192 in 2026, roughly 4.2x in three years.
• NeurIPS publishes the most Multimodal LLMs work: 3,319 papers from 2023 to 2026, 30% of the four-venue total.
• The fastest-growing overlap is with Applications · computer vision: papers tagged with both rose from 35 in 2023 to 596 in 2026.
• Among the 4 topics under Trending Systems, it ranks #1 by 2026 paper count; the fastest grower in the group, AI Agents, is up 12x versus 4.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\text{A}^3$-VLA: Automatic Perception-Guided Attention Alignment for Robot Manipulation
• ICML 2026[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation
• ICLR 2026A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
• CVPR 20263D Space as a Scratchpad for Editable Text-to-Image Generation
• NeurIPS 2025$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
• ICML 2025Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation
• ICLR 2025$\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models
• CVPR 20252DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
• NeurIPS 2024A Concept-Based Explainability Framework for Large Multimodal Models
• ICML 2024A Multimodal Automated Interpretability Agent
• ICLR 2024Alt-Text with Context: Improving Accessibility for Images on Twitter
• CVPR 2024Data-Efficient Multimodal Fusion on a Single GPU
• NeurIPS 20234M: Massively Multimodal Masked Modeling
• ICML 2023$\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
• ICLR 2023A Primal-Dual Framework for Transformers and Neural Networks
• CVPR 20233D Concept Learning and Reasoning From Multi-View Images
• NeurIPS 2026$\texttt{bispectrum}$: Selective $G$-Bispectra Made Practical
• ICML 2026$G^2$-Reader: Dual Evolving Graphs for Multimodal Document QA
• ICLR 2026A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models
• CVPR 20263D-IDE 3D Implicit Depth Emergent

All Multimodal LLMs papers

1,226 papers, page 25 of 25

1201. NeurIPS 2023Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieval
1202. NeurIPS 2023UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
1203. NeurIPS 2023Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
1204. NeurIPS 2023Validated Image Caption Rating Dataset
1205. NeurIPS 2023VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
1206. NeurIPS 2023VidChapters-7M: Video Chapters at Scale
1207. NeurIPS 2023VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
1208. NeurIPS 2023VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models
1209. NeurIPS 2023VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution
1210. NeurIPS 2023Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution
1211. NeurIPS 2023Visual Instruction Tuning
1212. NeurIPS 2023VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
1213. NeurIPS 2023Vocabulary-free Image Classification
1214. NeurIPS 2023VPGTrans: Transfer Visual Prompt Generator across LLMs
1215. NeurIPS 2023Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks
1216. NeurIPS 2023WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes
1217. NeurIPS 2023Weakly Supervised 3D Open-vocabulary Segmentation
1218. NeurIPS 2023What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
1219. NeurIPS 2023What Makes Good Examples for Visual In-Context Learning?
1220. NeurIPS 2023What You See is What You Read? Improving Text-Image Alignment Evaluation
1221. NeurIPS 2023What’s Left? Concept Grounding with Logic-Enhanced Foundation Models
1222. NeurIPS 2023Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
1223. NeurIPS 2023Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models
1224. NeurIPS 2023YouTubePD: A Multimodal Benchmark for Parkinson’s Disease Analysis
1225. NeurIPS 2023Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models
1226. NeurIPS 2023ZipLM: Inference-Aware Structured Pruning of Language Models

FAQ

How many Multimodal LLMs papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

11,209 in total: 1,226 in 2023, 1,716 in 2024, 3,075 in 2025, 5,192 in 2026.

How many Multimodal LLMs papers are at NeurIPS 2026?

NeurIPS 2026 has 1,366 Multimodal LLMs papers, versus 1,074 the year before.

How many Multimodal LLMs papers are at ICLR 2026?

ICLR 2026 has 1,401 Multimodal LLMs papers, versus 816 the year before.

How many Multimodal LLMs papers are at ICML 2026?

ICML 2026 has 1,051 Multimodal LLMs papers, versus 390 the year before.

How many Multimodal LLMs papers are at CVPR 2026?

CVPR 2026 has 1,374 Multimodal LLMs papers, versus 795 the year before.

Which conference publishes the most Multimodal LLMs papers?

NeurIPS, with 3,319 papers from 2023 to 2026.