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

11,207 papers, page 224 of 225

11151. NeurIPS 2023Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
11152. NeurIPS 2023Text Promptable Surgical Instrument Segmentation with Vision-Language Models
11153. NeurIPS 2023Text-to-Image Diffusion Models are Zero Shot Classifiers
11154. NeurIPS 2023Textually Pretrained Speech Language Models
11155. NeurIPS 2023The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
11156. NeurIPS 2023The Learnability of In-Context Learning
11157. NeurIPS 2023The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
11158. NeurIPS 2023The ToMCAT Dataset
11159. NeurIPS 2023Three Towers: Flexible Contrastive Learning with Pretrained Image Models
11160. NeurIPS 2023Time Series as Images: Vision Transformer for Irregularly Sampled Time Series
11161. NeurIPS 2023Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
11162. NeurIPS 2023Toolbox for Multimodal Learn (scikit-multimodallearn)
11163. NeurIPS 2023ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
11164. NeurIPS 2023ToolQA: A Dataset for LLM Question Answering with External Tools
11165. NeurIPS 2023Topology-Aware Uncertainty for Image Segmentation
11166. NeurIPS 2023Towards Efficient Image Compression Without Autoregressive Models
11167. NeurIPS 2023Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning
11168. NeurIPS 2023Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior
11169. NeurIPS 2023Towards Label-free Scene Understanding by Vision Foundation Models
11170. NeurIPS 2023Towards Optimal Caching and Model Selection for Large Model Inference
11171. NeurIPS 2023Training Transitive and Commutative Multimodal Transformers with LoReTTa
11172. NeurIPS 2023TransHP: Image Classification with Hierarchical Prompting
11173. NeurIPS 2023Transition-constant Normalization for Image Enhancement
11174. NeurIPS 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Models
11175. NeurIPS 2023TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models
11176. NeurIPS 2023Type-to-Track: Retrieve Any Object via Prompt-based Tracking
11177. NeurIPS 2023Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval
11178. NeurIPS 2023Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation
11179. NeurIPS 2023Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
11180. NeurIPS 2023Understanding Social Reasoning in Language Models with Language Models
11181. NeurIPS 2023Universality laws for Gaussian mixtures in generalized linear models
11182. NeurIPS 2023Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieval
11183. NeurIPS 2023UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
11184. NeurIPS 2023Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
11185. NeurIPS 2023Validated Image Caption Rating Dataset
11186. NeurIPS 2023VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
11187. NeurIPS 2023VidChapters-7M: Video Chapters at Scale
11188. NeurIPS 2023VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
11189. NeurIPS 2023VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models
11190. NeurIPS 2023VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution
11191. NeurIPS 2023Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution
11192. NeurIPS 2023Visual Instruction Tuning
11193. NeurIPS 2023VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
11194. NeurIPS 2023Vocabulary-free Image Classification
11195. NeurIPS 2023VPGTrans: Transfer Visual Prompt Generator across LLMs
11196. NeurIPS 2023Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks
11197. NeurIPS 2023WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes
11198. NeurIPS 2023Weakly Supervised 3D Open-vocabulary Segmentation
11199. NeurIPS 2023What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
11200. NeurIPS 2023What Makes Good Examples for Visual In-Context Learning?

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.