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

1,226 papers, page 24 of 25

1151. NeurIPS 2023Skill-it! A data-driven skills framework for understanding and training language models
1152. NeurIPS 2023SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
1153. NeurIPS 2023Spatio-Angular Convolutions for Super-resolution in Diffusion MRI
1154. NeurIPS 2023SQ Lower Bounds for Learning Mixtures of Linear Classifiers
1155. NeurIPS 2023Stability Guarantees for Feature Attributions with Multiplicative Smoothing
1156. NeurIPS 2023Stable and low-precision training for large-scale vision-language models
1157. NeurIPS 2023StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
1158. NeurIPS 2023StressID: a Multimodal Dataset for Stress Identification
1159. NeurIPS 2023Structured Semidefinite Programming for Recovering Structured Preconditioners
1160. NeurIPS 2023SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality
1161. NeurIPS 2023SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
1162. NeurIPS 2023SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
1163. NeurIPS 2023Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning
1164. NeurIPS 2023Symbolic Discovery of Optimization Algorithms
1165. NeurIPS 2023Systematic Visual Reasoning through Object-Centric Relational Abstraction
1166. NeurIPS 2023T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation
1167. NeurIPS 2023TART: A plug-and-play Transformer module for task-agnostic reasoning
1168. NeurIPS 2023Test-Time Distribution Normalization for Contrastively Learned Visual-language Models
1169. NeurIPS 2023Test-time Training for Matching-based Video Object Segmentation
1170. NeurIPS 2023Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
1171. NeurIPS 2023Text Promptable Surgical Instrument Segmentation with Vision-Language Models
1172. NeurIPS 2023Text-to-Image Diffusion Models are Zero Shot Classifiers
1173. NeurIPS 2023Textually Pretrained Speech Language Models
1174. NeurIPS 2023The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
1175. NeurIPS 2023The Learnability of In-Context Learning
1176. NeurIPS 2023The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
1177. NeurIPS 2023The ToMCAT Dataset
1178. NeurIPS 2023Three Towers: Flexible Contrastive Learning with Pretrained Image Models
1179. NeurIPS 2023Time Series as Images: Vision Transformer for Irregularly Sampled Time Series
1180. NeurIPS 2023Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
1181. NeurIPS 2023Toolbox for Multimodal Learn (scikit-multimodallearn)
1182. NeurIPS 2023ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
1183. NeurIPS 2023ToolQA: A Dataset for LLM Question Answering with External Tools
1184. NeurIPS 2023Topology-Aware Uncertainty for Image Segmentation
1185. NeurIPS 2023Towards Efficient Image Compression Without Autoregressive Models
1186. NeurIPS 2023Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning
1187. NeurIPS 2023Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior
1188. NeurIPS 2023Towards Label-free Scene Understanding by Vision Foundation Models
1189. NeurIPS 2023Towards Optimal Caching and Model Selection for Large Model Inference
1190. NeurIPS 2023Training Transitive and Commutative Multimodal Transformers with LoReTTa
1191. NeurIPS 2023TransHP: Image Classification with Hierarchical Prompting
1192. NeurIPS 2023Transition-constant Normalization for Image Enhancement
1193. NeurIPS 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Models
1194. NeurIPS 2023TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models
1195. NeurIPS 2023Type-to-Track: Retrieve Any Object via Prompt-based Tracking
1196. NeurIPS 2023Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval
1197. NeurIPS 2023Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation
1198. NeurIPS 2023Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
1199. NeurIPS 2023Understanding Social Reasoning in Language Models with Language Models
1200. NeurIPS 2023Universality laws for Gaussian mixtures in generalized linear models

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.