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 15 of 25

701. ICML 2023ILLUME: Rationalizing Vision-Language Models through Human Interactions
702. ICML 2023Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
703. ICML 2023Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
704. ICML 2023Improving Visual Prompt Tuning for Self-supervised Vision Transformers
705. ICML 2023Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning
706. ICML 2023Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
707. ICML 2023Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
708. ICML 2023IRNeXt: Rethinking Convolutional Network Design for Image Restoration
709. ICML 2023Is Overfitting Necessary for Implicit Video Representation?
710. ICML 2023Large Language Models Can Be Easily Distracted by Irrelevant Context
711. ICML 2023Learnability and Algorithm for Continual Learning
712. ICML 2023Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
713. ICML 2023LegendreTron: Uprising Proper Multiclass Loss Learning
714. ICML 2023Less is More: Task-aware Layer-wise Distillation for Language Model Compression
715. ICML 2023LIV: Language-Image Representations and Rewards for Robotic Control
716. ICML 2023LongCoder: A Long-Range Pre-trained Language Model for Code Completion
717. ICML 2023Magneto: A Foundation Transformer
718. ICML 2023MEWL: Few-shot multimodal word learning with referential uncertainty
719. ICML 2023Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
720. ICML 2023ModelDiff: A Framework for Comparing Learning Algorithms
721. ICML 2023mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
722. ICML 2023MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
723. ICML 2023Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests
724. ICML 2023Nonparametric Extensions of Randomized Response for Private Confidence Sets
725. ICML 2023On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
726. ICML 2023On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
727. ICML 2023On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
728. ICML 2023On the Power of Foundation Models
729. ICML 2023On the Role of Attention in Prompt-tuning
730. ICML 2023One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
731. ICML 2023Optimal No-Regret Learning for One-Sided Lipschitz Functions
732. ICML 2023Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion
733. ICML 2023Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
734. ICML 2023Optimizing Mode Connectivity for Class Incremental Learning
735. ICML 2023Oscillation-free Quantization for Low-bit Vision Transformers
736. ICML 2023PAC Prediction Sets for Large Language Models of Code
737. ICML 2023PaLM-E: An Embodied Multimodal Language Model
738. ICML 2023Poisoning Language Models During Instruction Tuning
739. ICML 2023Polynomial Preconditioning for Gradient Methods
740. ICML 2023POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models
741. ICML 2023Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
742. ICML 2023Predictive Flows for Faster Ford-Fulkerson
743. ICML 2023Pretraining Language Models with Human Preferences
744. ICML 2023Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems
745. ICML 2023Progressive Purification for Instance-Dependent Partial Label Learning
746. ICML 2023Projected Tensor Power Method for Hypergraph Community Recovery
747. ICML 2023Proper Scoring Rules for Survival Analysis
748. ICML 2023Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist
749. ICML 2023Provable Dynamic Fusion for Low-Quality Multimodal Data
750. ICML 2023Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

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.