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

146 papers, page 3 of 3

101. ICML 2023Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist
102. ICML 2023Provable Dynamic Fusion for Low-Quality Multimodal Data
103. ICML 2023Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
104. ICML 2023Random Shuffle Transformer for Image Restoration
105. ICML 2023Regret-Minimizing Double Oracle for Extensive-Form Games
106. ICML 2023Reparameterized Policy Learning for Multimodal Trajectory Optimization
107. ICML 2023Representer Point Selection for Explaining Regularized High-dimensional Models
108. ICML 2023Retrieval-Augmented Multimodal Language Modeling
109. ICML 2023Revisiting Simple Regret: Fast Rates for Returning a Good Arm
110. ICML 2023RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation
111. ICML 2023Robustness in Multimodal Learning under Train-Test Modality Mismatch
112. ICML 2023Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
113. ICML 2023Scaling Laws for Generative Mixed-Modal Language Models
114. ICML 2023Scaling Vision Transformers to 22 Billion Parameters
115. ICML 2023SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
116. ICML 2023Shapley Based Residual Decomposition for Instance Analysis
117. ICML 2023SinFusion: Training Diffusion Models on a Single Image or Video
118. ICML 2023Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
119. ICML 2023Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
120. ICML 2023Smart Initial Basis Selection for Linear Programs
121. ICML 2023SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
122. ICML 2023SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference
123. ICML 2023SpotEM: Efficient Video Search for Episodic Memory
124. ICML 2023Stabilizing Transformer Training by Preventing Attention Entropy Collapse
125. ICML 2023Statistical Learning under Heterogenous Distribution Shift
126. ICML 2023Structure-informed Language Models Are Protein Designers
127. ICML 2023Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction
128. ICML 2023SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes
129. ICML 2023Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization
130. ICML 2023Temporally Consistent Transformers for Video Generation
131. ICML 2023Tight Data Access Bounds for Private Top-$k$ Selection
132. ICML 2023Tighter Analysis for ProxSkip
133. ICML 2023Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
134. ICML 2023Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks
135. ICML 2023Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
136. ICML 2023Tractable Control for Autoregressive Language Generation
137. ICML 2023TRAK: Attributing Model Behavior at Scale
138. ICML 2023Traversing Between Modes in Function Space for Fast Ensembling
139. ICML 2023Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer
140. ICML 2023Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases
141. ICML 2023Unifying Nesterov's Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions
142. ICML 2023UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
143. ICML 2023VIMA: Robot Manipulation with Multimodal Prompts
144. ICML 2023Whose Opinions Do Language Models Reflect?
145. ICML 2023Why do Nearest Neighbor Language Models Work?
146. ICML 2023Why Is Public Pretraining Necessary for Private Model Training?

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.