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

11,207 papers, page 185 of 225

9201. ICLR 2024Vision-Language Foundation Models as Effective Robot Imitators
9202. ICLR 2024Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
9203. ICLR 2024Visual Data-Type Understanding does not emerge from scaling Vision-Language Models
9204. ICLR 2024Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency
9205. ICLR 2024What Algorithms can Transformers Learn? A Study in Length Generalization
9206. ICLR 2024What's in a Prior? Learned Proximal Networks for Inverse Problems
9207. ICLR 2024When Semantic Segmentation Meets Frequency Aliasing
9208. ICLR 2024Win-Win: Training High-Resolution Vision Transformers from Two Windows
9209. ICLR 2024Window Attention is Bugged: How not to Interpolate Position Embeddings
9210. ICLR 2024WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
9211. ICLR 2024Xformer: Hybrid X-Shaped Transformer for Image Denoising
9212. ICLR 2024ZipIt! Merging Models from Different Tasks without Training
9213. ICML 2024A Dynamic Algorithm for Weighted Submodular Cover Problem
9214. ICML 2024A Multimodal Automated Interpretability Agent
9215. ICML 2024A Neural-Preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions
9216. ICML 2024A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
9217. ICML 2024A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
9218. ICML 2024A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
9219. ICML 2024A Touch, Vision, and Language Dataset for Multimodal Alignment
9220. ICML 2024A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples
9221. ICML 2024Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
9222. ICML 2024Active Label Correction for Semantic Segmentation with Foundation Models
9223. ICML 2024Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
9224. ICML 2024Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
9225. ICML 2024Adaptively Perturbed Mirror Descent for Learning in Games
9226. ICML 2024Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
9227. ICML 2024ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data
9228. ICML 2024Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models
9229. ICML 2024Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
9230. ICML 2024An Embodied Generalist Agent in 3D World
9231. ICML 2024An Empirical Study Into What Matters for Calibrating Vision-Language Models
9232. ICML 2024An LLM Compiler for Parallel Function Calling
9233. ICML 2024Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts
9234. ICML 2024Analyzing $D^\alpha$ seeding for $k$-means
9235. ICML 2024AND: Audio Network Dissection for Interpreting Deep Acoustic Models
9236. ICML 2024Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
9237. ICML 2024Arrows of Time for Large Language Models
9238. ICML 2024ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
9239. ICML 2024AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
9240. ICML 2024AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios
9241. ICML 2024Auto-Encoding Morph-Tokens for Multimodal LLM
9242. ICML 2024Autoformalizing Euclidean Geometry
9243. ICML 2024Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
9244. ICML 2024Balancing Similarity and Complementarity for Federated Learning
9245. ICML 2024BAT: Learning to Reason about Spatial Sounds with Large Language Models
9246. ICML 2024BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
9247. ICML 2024Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data
9248. ICML 2024Best Arm Identification for Stochastic Rising Bandits
9249. ICML 2024Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models
9250. ICML 2024BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization

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.