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

433 papers, page 6 of 9

251. NeurIPS 2023LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering
252. NeurIPS 2023Lossy Image Compression with Conditional Diffusion Models
253. NeurIPS 2023LOVM: Language-Only Vision Model Selection
254. NeurIPS 2023LuminAIRe: Illumination-Aware Conditional Image Repainting for Lighting-Realistic Generation
255. NeurIPS 2023LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
256. NeurIPS 2023M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models
257. NeurIPS 2023MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
258. NeurIPS 2023MarioGPT: Open-Ended Text2Level Generation through Large Language Models
259. NeurIPS 2023Mask Propagation for Efficient Video Semantic Segmentation
260. NeurIPS 2023Masked Image Residual Learning for Scaling Deeper Vision Transformers
261. NeurIPS 2023Mass-Producing Failures of Multimodal Systems with Language Models
262. NeurIPS 2023Mathematical Capabilities of ChatGPT
263. NeurIPS 2023MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory
264. NeurIPS 2023Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias
265. NeurIPS 2023Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
266. NeurIPS 2023Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
267. NeurIPS 2023MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers
268. NeurIPS 2023Mitigating Test-Time Bias for Fair Image Retrieval
269. NeurIPS 2023MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks
270. NeurIPS 2023Module-wise Adaptive Distillation for Multimodality Foundation Models
271. NeurIPS 2023MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining
272. NeurIPS 2023Mr. HiSum: A Large-scale Dataset for Video Highlight Detection and Summarization
273. NeurIPS 2023MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
274. NeurIPS 2023Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text
275. NeurIPS 2023Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
276. NeurIPS 2023Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice
277. NeurIPS 2023MultiVENT: Multilingual Videos of Events and Aligned Natural Text
278. NeurIPS 2023NIS3D: A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation
279. NeurIPS 2023Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
280. NeurIPS 2023NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding
281. NeurIPS 2023OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
282. NeurIPS 2023Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
283. NeurIPS 2023On Evaluating Adversarial Robustness of Large Vision-Language Models
284. NeurIPS 2023On the choice of Perception Loss Function for Learned Video Compression
285. NeurIPS 2023On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets
286. NeurIPS 2023On the Planning Abilities of Large Language Models - A Critical Investigation
287. NeurIPS 2023On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
288. NeurIPS 2023On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
289. NeurIPS 2023OpenDataVal: a Unified Benchmark for Data Valuation
290. NeurIPS 2023OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
291. NeurIPS 2023Operation-Level Early Stopping for Robustifying Differentiable NAS
292. NeurIPS 2023Optimal approximation using complex-valued neural networks
293. NeurIPS 2023Optimal Learners for Realizable Regression: PAC Learning and Online Learning
294. NeurIPS 2023Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
295. NeurIPS 2023PaintSeg: Painting Pixels for Training-free Segmentation
296. NeurIPS 2023PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
297. NeurIPS 2023Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
298. NeurIPS 2023Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
299. NeurIPS 2023Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
300. NeurIPS 2023Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions

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.