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 5 of 7

201. ICLR 2024Neural-Symbolic Recursive Machine for Systematic Generalization
202. ICLR 2024Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
203. ICLR 2024Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
204. ICLR 2024Neurosymbolic Grounding for Compositional World Models
205. ICLR 2024NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
206. ICLR 2024OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
207. ICLR 2024On the generalization capacity of neural networks during generic multimodal reasoning
208. ICLR 2024On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs
209. ICLR 2024On the Reliability of Watermarks for Large Language Models
210. ICLR 2024On the Variance of Neural Network Training with respect to Test Sets and Distributions
211. ICLR 2024Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy
212. ICLR 2024OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views
213. ICLR 2024Out-of-Variable Generalisation for Discriminative Models
214. ICLR 2024Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
215. ICLR 2024OWL: A Large Language Model for IT Operations
216. ICLR 2024PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
217. ICLR 2024PBADet: A One-Stage Anchor-Free Approach for Part-Body Association
218. ICLR 2024Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
219. ICLR 2024PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
220. ICLR 2024PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
221. ICLR 2024PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning
222. ICLR 2024PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
223. ICLR 2024Pre-training with Random Orthogonal Projection Image Modeling
224. ICLR 2024Progressive Fourier Neural Representation for Sequential Video Compilation
225. ICLR 2024Prompt Gradient Projection for Continual Learning
226. ICLR 2024Prompt Learning with Quaternion Networks
227. ICLR 2024Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
228. ICLR 2024Pseudo-Generalized Dynamic View Synthesis from a Video
229. ICLR 2024Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
230. ICLR 2024QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
231. ICLR 2024Quasi-Monte Carlo for 3D Sliced Wasserstein
232. ICLR 2024Raidar: geneRative AI Detection viA Rewriting
233. ICLR 2024Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
234. ICLR 2024RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations
235. ICLR 2024Recursive Generalization Transformer for Image Super-Resolution
236. ICLR 2024ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
237. ICLR 2024Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment
238. ICLR 2024Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
239. ICLR 2024Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
240. ICLR 2024Rethinking Model Ensemble in Transfer-based Adversarial Attacks
241. ICLR 2024Retrieval-Enhanced Contrastive Vision-Text Models
242. ICLR 2024Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
243. ICLR 2024SALMONN: Towards Generic Hearing Abilities for Large Language Models
244. ICLR 2024Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing
245. ICLR 2024Scaling Laws for Sparsely-Connected Foundation Models
246. ICLR 2024SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos
247. ICLR 2024SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
248. ICLR 2024Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
249. ICLR 2024Sentence-level Prompts Benefit Composed Image Retrieval
250. ICLR 2024Shadow Cones: A Generalized Framework for Partial Order Embeddings

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.