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

446 papers, page 3 of 9

101. NeurIPS 2024Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning
102. NeurIPS 2024DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
103. NeurIPS 2024DevBench: A multimodal developmental benchmark for language learning
104. NeurIPS 2024Diffusion-Inspired Truncated Sampler for Text-Video Retrieval
105. NeurIPS 2024DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
106. NeurIPS 2024DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
107. NeurIPS 2024Do Multimodal Foundation Models Understand Enterprise Workflows? A Benchmark for Business Process Management Tasks
108. NeurIPS 2024Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?
109. NeurIPS 2024Domain Adaptation for Large-Vocabulary Object Detectors
110. NeurIPS 2024DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM
111. NeurIPS 2024Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
112. NeurIPS 2024E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding
113. NeurIPS 2024E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
114. NeurIPS 2024EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas
115. NeurIPS 2024Easy Regional Contrastive Learning of Expressive Fashion Representations
116. NeurIPS 2024Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
117. NeurIPS 2024Efficient Large Multi-modal Models via Visual Context Compression
118. NeurIPS 2024ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transformer Acceleration
119. NeurIPS 2024Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
120. NeurIPS 2024Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning
121. NeurIPS 2024Empowering Visible-Infrared Person Re-Identification with Large Foundation Models
122. NeurIPS 2024Enhancing Domain Adaptation through Prompt Gradient Alignment
123. NeurIPS 2024Enhancing Large Vision Language Models with Self-Training on Image Comprehension
124. NeurIPS 2024Enhancing LLM Reasoning via Vision-Augmented Prompting
125. NeurIPS 2024Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus
126. NeurIPS 2024Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection
127. NeurIPS 2024Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
128. NeurIPS 2024ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
129. NeurIPS 2024Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads
130. NeurIPS 2024Evaluating Multiview Object Consistency in Humans and Image Models
131. NeurIPS 2024Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor
132. NeurIPS 2024EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models
133. NeurIPS 2024Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels
134. NeurIPS 2024EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
135. NeurIPS 2024Facilitating Multimodal Classification via Dynamically Learning Modality Gap
136. NeurIPS 2024FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
137. NeurIPS 2024FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification
138. NeurIPS 2024Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
139. NeurIPS 2024FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
140. NeurIPS 2024Few-Shot Adversarial Prompt Learning on Vision-Language Models
141. NeurIPS 2024FindingEmo: An Image Dataset for Emotion Recognition in the Wild
142. NeurIPS 2024Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
143. NeurIPS 2024Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
144. NeurIPS 2024FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models
145. NeurIPS 2024FlexCap: Describe Anything in Images in Controllable Detail
146. NeurIPS 2024Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion
147. NeurIPS 2024Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
148. NeurIPS 2024From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning
149. NeurIPS 2024Frustratingly Easy Test-Time Adaptation of Vision-Language Models
150. NeurIPS 2024FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion

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.