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

1,716 papers, page 24 of 35

1151. ICML 2024Optimizing Watermarks for Large Language Models
1152. ICML 2024Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
1153. ICML 2024Outlier-aware Slicing for Post-Training Quantization in Vision Transformer
1154. ICML 2024Parallelized Spatiotemporal Slot Binding for Videos
1155. ICML 2024Parameter-Dependent Competitive Analysis for Online Capacitated Coverage Maximization through Boostings and Attenuations
1156. ICML 2024PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition
1157. ICML 2024Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
1158. ICML 2024PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
1159. ICML 2024PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR
1160. ICML 2024PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
1161. ICML 2024Position: A Call for Embodied AI
1162. ICML 2024Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
1163. ICML 2024Position: Do pretrained Transformers Learn In-Context by Gradient Descent?
1164. ICML 2024Position: Embracing Negative Results in Machine Learning
1165. ICML 2024Position: Foundation Agents as the Paradigm Shift for Decision Making
1166. ICML 2024Position: Levels of AGI for Operationalizing Progress on the Path to AGI
1167. ICML 2024Position: LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks
1168. ICML 2024Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI
1169. ICML 2024Position: Stop Making Unscientific AGI Performance Claims
1170. ICML 2024Position: Technical Research and Talent is Needed for Effective AI Governance
1171. ICML 2024Position: Tensor Networks are a Valuable Asset for Green AI
1172. ICML 2024Position: The Reasonable Person Standard for AI
1173. ICML 2024Position: Towards Implicit Prompt For Text-To-Image Models
1174. ICML 2024Position: TrustLLM: Trustworthiness in Large Language Models
1175. ICML 2024Position: Understanding LLMs Requires More Than Statistical Generalization
1176. ICML 2024Position: What makes an image realistic?
1177. ICML 2024Positive Concave Deep Equilibrium Models
1178. ICML 2024Post-hoc Part-Prototype Networks
1179. ICML 2024Practical Performance Guarantees for Pipelined DNN Inference
1180. ICML 2024PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
1181. ICML 2024Predicting Lagrangian Multipliers for Mixed Integer Linear Programs
1182. ICML 2024Predictive Dynamic Fusion
1183. ICML 2024Premise Order Matters in Reasoning with Large Language Models
1184. ICML 2024Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
1185. ICML 2024Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation
1186. ICML 2024Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
1187. ICML 2024Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
1188. ICML 2024Prompt-based Visual Alignment for Zero-shot Policy Transfer
1189. ICML 2024Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
1190. ICML 2024QuRating: Selecting High-Quality Data for Training Language Models
1191. ICML 2024Random features models: a way to study the success of naive imputation
1192. ICML 2024Randomized Confidence Bounds for Stochastic Partial Monitoring
1193. ICML 2024Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization
1194. ICML 2024Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion
1195. ICML 2024ReGAL: Refactoring Programs to Discover Generalizable Abstractions
1196. ICML 2024Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
1197. ICML 2024ReLU Network with Width $d+\mathcal{O}(1)$ Can Achieve Optimal Approximation Rate
1198. ICML 2024ReLUs Are Sufficient for Learning Implicit Neural Representations
1199. ICML 2024REMEDI: Corrective Transformations for Improved Neural Entropy Estimation
1200. ICML 2024Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration

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.