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 4 of 9

151. NeurIPS 2023FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
152. NeurIPS 2023FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
153. NeurIPS 2023Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
154. NeurIPS 2023Focus Your Attention when Few-Shot Classification
155. NeurIPS 2023FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
156. NeurIPS 2023Foundation Model is Efficient Multimodal Multitask Model Selector
157. NeurIPS 2023Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation
158. NeurIPS 2023From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader
159. NeurIPS 2023Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
160. NeurIPS 2023Generating Images with Multimodal Language Models
161. NeurIPS 2023Generator Identification for Linear SDEs with Additive and Multiplicative Noise
162. NeurIPS 2023GenEval: An object-focused framework for evaluating text-to-image alignment
163. NeurIPS 2023GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
164. NeurIPS 2023GEO-Bench: Toward Foundation Models for Earth Monitoring
165. NeurIPS 2023GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
166. NeurIPS 2023Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
167. NeurIPS 2023GEX: A flexible method for approximating influence via Geometric Ensemble
168. NeurIPS 2023Glance and Focus: Memory Prompting for Multi-Event Video Question Answering
169. NeurIPS 2023Global Structure-Aware Diffusion Process for Low-light Image Enhancement
170. NeurIPS 2023Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
171. NeurIPS 2023Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction
172. NeurIPS 2023GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
173. NeurIPS 2023Grammar Prompting for Domain-Specific Language Generation with Large Language Models
174. NeurIPS 2023GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
175. NeurIPS 2023Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
176. NeurIPS 2023Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
177. NeurIPS 2023Guide Your Agent with Adaptive Multimodal Rewards
178. NeurIPS 2023Guiding Large Language Models via Directional Stimulus Prompting
179. NeurIPS 2023H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
180. NeurIPS 2023HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding
181. NeurIPS 2023Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition
182. NeurIPS 2023HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception
183. NeurIPS 2023Hardware Resilience Properties of Text-Guided Image Classifiers
184. NeurIPS 2023Hierarchical Integration Diffusion Model for Realistic Image Deblurring
185. NeurIPS 2023HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count
186. NeurIPS 2023Holistic Evaluation of Text-to-Image Models
187. NeurIPS 2023HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
188. NeurIPS 2023HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
189. NeurIPS 2023IEBins: Iterative Elastic Bins for Monocular Depth Estimation
190. NeurIPS 2023Im-Promptu: In-Context Composition from Image Prompts
191. NeurIPS 2023Image Captioners Are Scalable Vision Learners Too
192. NeurIPS 2023ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification
193. NeurIPS 2023Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
194. NeurIPS 2023Improving CLIP Training with Language Rewrites
195. NeurIPS 2023Improving multimodal datasets with image captioning
196. NeurIPS 2023In-Context Impersonation Reveals Large Language Models' Strengths and Biases
197. NeurIPS 2023Incomplete Multimodality-Diffused Emotion Recognition
198. NeurIPS 2023Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
199. NeurIPS 2023Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization
200. NeurIPS 2023INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis

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.