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

626 papers, page 4 of 13

151. CVPR 2024Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance
152. CVPR 2024DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes
153. CVPR 2024DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided Transformer
154. CVPR 2024Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
155. CVPR 2024Dual Prior Unfolding for Snapshot Compressive Imaging
156. CVPR 2024Dual Prototype Attention for Unsupervised Video Object Segmentation
157. CVPR 2024Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning
158. CVPR 2024Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
159. CVPR 2024ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations
160. CVPR 2024EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection
161. CVPR 2024Efficient Test-Time Adaptation of Vision-Language Models
162. CVPR 2024Efficient Vision-Language Pre-training by Cluster Masking
163. CVPR 2024EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
164. CVPR 2024EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models
165. CVPR 2024Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld
166. CVPR 2024Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion
167. CVPR 2024EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
168. CVPR 2024Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models
169. CVPR 2024EMOPortraits: Emotion-enhanced Multimodal One-shot Head Avatars
170. CVPR 2024Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance
171. CVPR 2024Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection
172. CVPR 2024Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning
173. CVPR 2024Enhancing Multimodal Cooperation via Sample-level Modality Valuation
174. CVPR 2024Enhancing Vision-Language Pre-training with Rich Supervisions
175. CVPR 2024Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models
176. CVPR 2024Equivariant Plug-and-Play Image Reconstruction
177. CVPR 2024ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation
178. CVPR 2024Estimating Extreme 3D Image Rotations using Cascaded Attention
179. CVPR 2024ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More
180. CVPR 2024Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
181. CVPR 2024Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users
182. CVPR 2024Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions
183. CVPR 2024Exploiting Style Latent Flows for Generalizing Deepfake Video Detection
184. CVPR 2024Exploring Region-Word Alignment in Built-in Detector for Open-Vocabulary Object Detection
185. CVPR 2024Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection
186. CVPR 2024Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
187. CVPR 2024Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
188. CVPR 2024Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
189. CVPR 2024Fair-VPT: Fair Visual Prompt Tuning for Image Classification
190. CVPR 2024FairCLIP: Harnessing Fairness in Vision-Language Learning
191. CVPR 2024FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication
192. CVPR 2024FedUV: Uniformity and Variance for Heterogeneous Federated Learning
193. CVPR 2024FFF: Fixing Flawed Foundations in Contrastive Pre-Training Results in Very Strong Vision-Language Models
194. CVPR 2024Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning
195. CVPR 2024Flexible Biometrics Recognition: Bridging the Multimodality Gap through Attention Alignment and Prompt Tuning
196. CVPR 2024Flexible Depth Completion for Sparse and Varying Point Densities
197. CVPR 2024Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
198. CVPR 2024FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring
199. CVPR 2024Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection
200. CVPR 2024FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition

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.