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 19 of 25

901. NeurIPS 2023Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation
902. NeurIPS 2023Diversifying Spatial-Temporal Perception for Video Domain Generalization
903. NeurIPS 2023Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
904. NeurIPS 2023Dual Mean-Teacher: An Unbiased Semi-Supervised Framework for Audio-Visual Source Localization
905. NeurIPS 2023DVSOD: RGB-D Video Salient Object Detection
906. NeurIPS 2023Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
907. NeurIPS 2023DynPoint: Dynamic Neural Point For View Synthesis
908. NeurIPS 2023Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
909. NeurIPS 2023Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
910. NeurIPS 2023Egocentric Planning for Scalable Embodied Task Achievement
911. NeurIPS 2023EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding
912. NeurIPS 2023EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding
913. NeurIPS 2023EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
914. NeurIPS 2023EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
915. NeurIPS 2023Emergent and Predictable Memorization in Large Language Models
916. NeurIPS 2023Emergent Communication for Rules Reasoning
917. NeurIPS 2023Energy Guided Diffusion for Generating Neurally Exciting Images
918. NeurIPS 2023Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
919. NeurIPS 2023Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
920. NeurIPS 2023Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
921. NeurIPS 2023Evaluating and Inducing Personality in Pre-trained Language Models
922. NeurIPS 2023Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
923. NeurIPS 2023Evaluating Open-QA Evaluation
924. NeurIPS 2023Evaluating the Moral Beliefs Encoded in LLMs
925. NeurIPS 2023EvoPrompting: Language Models for Code-Level Neural Architecture Search
926. NeurIPS 2023Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
927. NeurIPS 2023Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
928. NeurIPS 2023Exploring Diverse In-Context Configurations for Image Captioning
929. NeurIPS 2023Exploring Geometry of Blind Spots in Vision models
930. NeurIPS 2023Exploring Question Decomposition for Zero-Shot VQA
931. NeurIPS 2023Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations
932. NeurIPS 2023Exposing Attention Glitches with Flip-Flop Language Modeling
933. NeurIPS 2023Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
934. NeurIPS 2023Fairness-guided Few-shot Prompting for Large Language Models
935. NeurIPS 2023Faith and Fate: Limits of Transformers on Compositionality
936. NeurIPS 2023Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention
937. NeurIPS 2023Faster Query Times for Fully Dynamic $k$-Center Clustering with Outliers
938. NeurIPS 2023FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation
939. NeurIPS 2023FIND: A Function Description Benchmark for Evaluating Interpretability Methods
940. NeurIPS 2023Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering
941. NeurIPS 2023Fine-Grained Visual Prompting
942. NeurIPS 2023Fine-Tuning Language Models with Just Forward Passes
943. NeurIPS 2023FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery
944. NeurIPS 2023FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
945. NeurIPS 2023FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
946. NeurIPS 2023Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
947. NeurIPS 2023Focus Your Attention when Few-Shot Classification
948. NeurIPS 2023FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
949. NeurIPS 2023Foundation Model is Efficient Multimodal Multitask Model Selector
950. NeurIPS 2023Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation

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.