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 221 of 225

11001. NeurIPS 2023Latent Diffusion for Language Generation
11002. NeurIPS 2023Latent Space Translation via Semantic Alignment
11003. NeurIPS 2023Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions
11004. NeurIPS 2023LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
11005. NeurIPS 2023LayoutPrompter: Awaken the Design Ability of Large Language Models
11006. NeurIPS 2023LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
11007. NeurIPS 2023Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs
11008. NeurIPS 2023Learning better with Dale’s Law: A Spectral Perspective
11009. NeurIPS 2023Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles
11010. NeurIPS 2023Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion
11011. NeurIPS 2023Learning Unseen Modality Interaction
11012. NeurIPS 2023Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification
11013. NeurIPS 2023LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
11014. NeurIPS 2023Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection
11015. NeurIPS 2023Lexinvariant Language Models
11016. NeurIPS 2023LICO: Explainable Models with Language-Image COnsistency
11017. NeurIPS 2023Likelihood-Based Diffusion Language Models
11018. NeurIPS 2023LIMA: Less Is More for Alignment
11019. NeurIPS 2023Limits, approximation and size transferability for GNNs on sparse graphs via graphops
11020. NeurIPS 2023LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
11021. NeurIPS 2023LLM-Pruner: On the Structural Pruning of Large Language Models
11022. NeurIPS 2023LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
11023. NeurIPS 2023Localized Symbolic Knowledge Distillation for Visual Commonsense Models
11024. NeurIPS 2023LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
11025. NeurIPS 2023LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering
11026. NeurIPS 2023Lossy Image Compression with Conditional Diffusion Models
11027. NeurIPS 2023LOVM: Language-Only Vision Model Selection
11028. NeurIPS 2023LuminAIRe: Illumination-Aware Conditional Image Repainting for Lighting-Realistic Generation
11029. NeurIPS 2023LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
11030. NeurIPS 2023M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models
11031. NeurIPS 2023MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
11032. NeurIPS 2023MarioGPT: Open-Ended Text2Level Generation through Large Language Models
11033. NeurIPS 2023Mask Propagation for Efficient Video Semantic Segmentation
11034. NeurIPS 2023Masked Image Residual Learning for Scaling Deeper Vision Transformers
11035. NeurIPS 2023Mass-Producing Failures of Multimodal Systems with Language Models
11036. NeurIPS 2023Mathematical Capabilities of ChatGPT
11037. NeurIPS 2023MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory
11038. NeurIPS 2023Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias
11039. NeurIPS 2023Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
11040. NeurIPS 2023Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
11041. NeurIPS 2023MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers
11042. NeurIPS 2023Mitigating Test-Time Bias for Fair Image Retrieval
11043. NeurIPS 2023MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks
11044. NeurIPS 2023Module-wise Adaptive Distillation for Multimodality Foundation Models
11045. NeurIPS 2023MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining
11046. NeurIPS 2023Mr. HiSum: A Large-scale Dataset for Video Highlight Detection and Summarization
11047. NeurIPS 2023MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
11048. NeurIPS 2023Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text
11049. NeurIPS 2023Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
11050. NeurIPS 2023Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice

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.