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

321 papers, page 4 of 7

151. ICLR 2024Large Language Models as Automated Aligners for benchmarking Vision-Language Models
152. ICLR 2024Large Language Models as Tool Makers
153. ICLR 2024Large Language Models Cannot Self-Correct Reasoning Yet
154. ICLR 2024Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
155. ICLR 2024Learning Hierarchical Image Segmentation For Recognition and By Recognition
156. ICLR 2024Learning Interactive Real-World Simulators
157. ICLR 2024Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
158. ICLR 2024Let's Verify Step by Step
159. ICLR 2024Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
160. ICLR 2024Lie Group Decompositions for Equivariant Neural Networks
161. ICLR 2024Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
162. ICLR 2024Listen, Think, and Understand
163. ICLR 2024LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention
164. ICLR 2024LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
165. ICLR 2024Llemma: An Open Language Model for Mathematics
166. ICLR 2024LLM Augmented LLMs: Expanding Capabilities through Composition
167. ICLR 2024LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
168. ICLR 2024LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
169. ICLR 2024Look, Remember and Reason: Grounded Reasoning in Videos with Language Models
170. ICLR 2024LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition
171. ICLR 2024Making LLaMA SEE and Draw with SEED Tokenizer
172. ICLR 2024Massive Editing for Large Language Models via Meta Learning
173. ICLR 2024Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
174. ICLR 2024Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
175. ICLR 2024MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
176. ICLR 2024MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
177. ICLR 2024MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
178. ICLR 2024Measuring Vision-Language STEM Skills of Neural Models
179. ICLR 2024MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
180. ICLR 2024MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
181. ICLR 2024MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
182. ICLR 2024MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
183. ICLR 2024MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
184. ICLR 2024Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
185. ICLR 2024Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
186. ICLR 2024MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
187. ICLR 2024Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
188. ICLR 2024ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis
189. ICLR 2024MOFI: Learning Image Representations from Noisy Entity Annotated Images
190. ICLR 2024MogaNet: Multi-order Gated Aggregation Network
191. ICLR 2024MOTOR: A Time-to-Event Foundation Model For Structured Medical Records
192. ICLR 2024Multi-granularity Correspondence Learning from Long-term Noisy Videos
193. ICLR 2024Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
194. ICLR 2024Multimodal Molecular Pretraining via Modality Blending
195. ICLR 2024Multimodal Patient Representation Learning with Missing Modalities and Labels
196. ICLR 2024Multimodal Web Navigation with Instruction-Finetuned Foundation Models
197. ICLR 2024Negative Label Guided OOD Detection with Pretrained Vision-Language Models
198. ICLR 2024Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models
199. ICLR 2024Neural Polynomial Gabor Fields for Macro Motion Analysis
200. ICLR 2024Neural Rate Control for Learned Video 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.