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

1,910 papers, page 37 of 39

1801. ICML 2023Fast Combinatorial Algorithms for Min Max Correlation Clustering
1802. ICML 2023Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron
1803. ICML 2023Fourmer: An Efficient Global Modeling Paradigm for Image Restoration
1804. ICML 2023Generalized Teacher Forcing for Learning Chaotic Dynamics
1805. ICML 2023GFlowNet-EM for Learning Compositional Latent Variable Models
1806. ICML 2023Global optimality for Euclidean CCCP under Riemannian convexity
1807. ICML 2023Global optimality of Elman-type RNNs in the mean-field regime
1808. ICML 2023Gradient-based Wang--Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space
1809. ICML 2023Grounding Language Models to Images for Multimodal Inputs and Outputs
1810. ICML 2023H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features
1811. ICML 2023Hiding Data Helps: On the Benefits of Masking for Sparse Coding
1812. ICML 2023Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
1813. ICML 2023High Fidelity Image Counterfactuals with Probabilistic Causal Models
1814. ICML 2023High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors
1815. ICML 2023Hyena Hierarchy: Towards Larger Convolutional Language Models
1816. ICML 2023Identifying Interpretable Subspaces in Image Representations
1817. ICML 2023Identifying Useful Learnwares for Heterogeneous Label Spaces
1818. ICML 2023ILLUME: Rationalizing Vision-Language Models through Human Interactions
1819. ICML 2023Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
1820. ICML 2023Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
1821. ICML 2023Improving Visual Prompt Tuning for Self-supervised Vision Transformers
1822. ICML 2023Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning
1823. ICML 2023Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
1824. ICML 2023Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
1825. ICML 2023IRNeXt: Rethinking Convolutional Network Design for Image Restoration
1826. ICML 2023Is Overfitting Necessary for Implicit Video Representation?
1827. ICML 2023Large Language Models Can Be Easily Distracted by Irrelevant Context
1828. ICML 2023Learnability and Algorithm for Continual Learning
1829. ICML 2023Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
1830. ICML 2023LegendreTron: Uprising Proper Multiclass Loss Learning
1831. ICML 2023Less is More: Task-aware Layer-wise Distillation for Language Model Compression
1832. ICML 2023LIV: Language-Image Representations and Rewards for Robotic Control
1833. ICML 2023LongCoder: A Long-Range Pre-trained Language Model for Code Completion
1834. ICML 2023Magneto: A Foundation Transformer
1835. ICML 2023MEWL: Few-shot multimodal word learning with referential uncertainty
1836. ICML 2023Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
1837. ICML 2023ModelDiff: A Framework for Comparing Learning Algorithms
1838. ICML 2023mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
1839. ICML 2023MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
1840. ICML 2023Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests
1841. ICML 2023Nonparametric Extensions of Randomized Response for Private Confidence Sets
1842. ICML 2023On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
1843. ICML 2023On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
1844. ICML 2023On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
1845. ICML 2023On the Power of Foundation Models
1846. ICML 2023On the Role of Attention in Prompt-tuning
1847. ICML 2023One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
1848. ICML 2023Optimal No-Regret Learning for One-Sided Lipschitz Functions
1849. ICML 2023Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion
1850. ICML 2023Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference

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.