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 3 of 9

101. NeurIPS 2023Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones
102. NeurIPS 2023Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning
103. NeurIPS 2023DISCOVER: Making Vision Networks Interpretable via Competition and Dissection
104. NeurIPS 2023Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning
105. NeurIPS 2023Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering
106. NeurIPS 2023Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
107. NeurIPS 2023Diverse Shape Completion via Style Modulated Generative Adversarial Networks
108. NeurIPS 2023Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation
109. NeurIPS 2023Diversifying Spatial-Temporal Perception for Video Domain Generalization
110. NeurIPS 2023Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
111. NeurIPS 2023Dual Mean-Teacher: An Unbiased Semi-Supervised Framework for Audio-Visual Source Localization
112. NeurIPS 2023DVSOD: RGB-D Video Salient Object Detection
113. NeurIPS 2023Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
114. NeurIPS 2023DynPoint: Dynamic Neural Point For View Synthesis
115. NeurIPS 2023Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
116. NeurIPS 2023Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
117. NeurIPS 2023Egocentric Planning for Scalable Embodied Task Achievement
118. NeurIPS 2023EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding
119. NeurIPS 2023EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding
120. NeurIPS 2023EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
121. NeurIPS 2023EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
122. NeurIPS 2023Emergent and Predictable Memorization in Large Language Models
123. NeurIPS 2023Emergent Communication for Rules Reasoning
124. NeurIPS 2023Energy Guided Diffusion for Generating Neurally Exciting Images
125. NeurIPS 2023Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
126. NeurIPS 2023Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
127. NeurIPS 2023Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
128. NeurIPS 2023Evaluating and Inducing Personality in Pre-trained Language Models
129. NeurIPS 2023Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
130. NeurIPS 2023Evaluating Open-QA Evaluation
131. NeurIPS 2023Evaluating the Moral Beliefs Encoded in LLMs
132. NeurIPS 2023EvoPrompting: Language Models for Code-Level Neural Architecture Search
133. NeurIPS 2023Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
134. NeurIPS 2023Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
135. NeurIPS 2023Exploring Diverse In-Context Configurations for Image Captioning
136. NeurIPS 2023Exploring Geometry of Blind Spots in Vision models
137. NeurIPS 2023Exploring Question Decomposition for Zero-Shot VQA
138. NeurIPS 2023Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations
139. NeurIPS 2023Exposing Attention Glitches with Flip-Flop Language Modeling
140. NeurIPS 2023Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
141. NeurIPS 2023Fairness-guided Few-shot Prompting for Large Language Models
142. NeurIPS 2023Faith and Fate: Limits of Transformers on Compositionality
143. NeurIPS 2023Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention
144. NeurIPS 2023Faster Query Times for Fully Dynamic $k$-Center Clustering with Outliers
145. NeurIPS 2023FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation
146. NeurIPS 2023FIND: A Function Description Benchmark for Evaluating Interpretability Methods
147. NeurIPS 2023Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering
148. NeurIPS 2023Fine-Grained Visual Prompting
149. NeurIPS 2023Fine-Tuning Language Models with Just Forward Passes
150. NeurIPS 2023FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery

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.