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

390 papers, page 4 of 8

151. ICML 2025HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding
152. ICML 2025HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration
153. ICML 2025HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation
154. ICML 2025HetSSNet: Spatial-Spectral Heterogeneous Graph Learning Network for Panchromatic and Multispectral Images Fusion
155. ICML 2025Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
156. ICML 2025Hidden No More: Attacking and Defending Private Third-Party LLM Inference
157. ICML 2025High-Fidelity Simultaneous Speech-To-Speech Translation
158. ICML 2025How Effective Can Dropout Be in Multiple Instance Learning ?
159. ICML 2025Hypo3D: Exploring Hypothetical Reasoning in 3D
160. ICML 2025I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
161. ICML 2025Imagine While Reasoning in Space: Multimodal Visualization-of-Thought
162. ICML 2025Improving LLM Video Understanding with 16 Frames Per Second
163. ICML 2025Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
164. ICML 2025Improving Multimodal Learning Balance and Sufficiency through Data Remixing
165. ICML 2025Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
166. ICML 2025In-Context Fine-Tuning for Time-Series Foundation Models
167. ICML 2025Instruction-Following Pruning for Large Language Models
168. ICML 2025Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence
169. ICML 2025Interpreting CLIP with Hierarchical Sparse Autoencoders
170. ICML 2025Interpreting the Repeated Token Phenomenon in Large Language Models
171. ICML 2025Investigating the Overlooked Hessian Structure: From CNNs to LLMs
172. ICML 2025Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
173. ICML 2025LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
174. ICML 2025LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
175. ICML 2025Large Language Models are Demonstration Pre-Selectors for Themselves
176. ICML 2025Layer by Layer: Uncovering Hidden Representations in Language Models
177. ICML 2025Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models
178. ICML 2025Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning
179. ICML 2025Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control
180. ICML 2025Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization
181. ICML 2025Learning Dynamics in Continual Pre-Training for Large Language Models
182. ICML 2025Learning Event Completeness for Weakly Supervised Video Anomaly Detection
183. ICML 2025Learning Invariant Causal Mechanism from Vision-Language Models
184. ICML 2025Learning Optimal Multimodal Information Bottleneck Representations
185. ICML 2025Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
186. ICML 2025Learning Vision and Language Concepts for Controllable Image Generation
187. ICML 2025LEMoN: Label Error Detection using Multimodal Neighbors
188. ICML 2025Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation
189. ICML 2025LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning
190. ICML 2025Lightweight Online Adaption for Time Series Foundation Model Forecasts
191. ICML 2025Linear convergence of Sinkhorn's algorithm for generalized static Schrödinger bridge
192. ICML 2025LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
193. ICML 2025LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
194. ICML 2025LLMs can see and hear without any training
195. ICML 2025LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws
196. ICML 2025LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
197. ICML 2025Long-Short Alignment for Effective Long-Context Modeling in LLMs
198. ICML 2025LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
199. ICML 2025Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
200. ICML 2025LotteryCodec: Searching the Implicit Representation in a Random Network for Low-Complexity Image Compression

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.