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

1,716 papers, page 15 of 35

701. ICLR 2024Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
702. ICLR 2024Democratizing Fine-grained Visual Recognition with Large Language Models
703. ICLR 2024Demystifying CLIP Data
704. ICLR 2024DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
705. ICLR 2024DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
706. ICLR 2024Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
707. ICLR 2024Does CLIP’s generalization performance mainly stem from high train-test similarity?
708. ICLR 2024Don't Judge by the Look: Towards Motion Coherent Video Representation
709. ICLR 2024Doubly Robust Proximal Causal Learning for Continuous Treatments
710. ICLR 2024DreamLLM: Synergistic Multimodal Comprehension and Creation
711. ICLR 2024Dual Associated Encoder for Face Restoration
712. ICLR 2024Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
713. ICLR 2024DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
714. ICLR 2024ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models
715. ICLR 2024Efficient Modulation for Vision Networks
716. ICLR 2024Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning
717. ICLR 2024Emu: Generative Pretraining in Multimodality
718. ICLR 2024Enhanced Face Recognition using Intra-class Incoherence Constraint
719. ICLR 2024Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
720. ICLR 2024Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
721. ICLR 2024Ensemble Distillation for Unsupervised Constituency Parsing
722. ICLR 2024EQA-MX: Embodied Question Answering using Multimodal Expression
723. ICLR 2024EventRPG: Event Data Augmentation with Relevance Propagation Guidance
724. ICLR 2024Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
725. ICLR 2024Exploring Target Representations for Masked Autoencoders
726. ICLR 2024FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs
727. ICLR 2024Faithful Vision-Language Interpretation via Concept Bottleneck Models
728. ICLR 2024Fast-ELECTRA for Efficient Pre-training
729. ICLR 2024FasterViT: Fast Vision Transformers with Hierarchical Attention
730. ICLR 2024FeatUp: A Model-Agnostic Framework for Features at Any Resolution
731. ICLR 2024Federated Text-driven Prompt Generation for Vision-Language Models
732. ICLR 2024FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
733. ICLR 2024Ferret: Refer and Ground Anything Anywhere at Any Granularity
734. ICLR 2024Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
735. ICLR 2024Finite Scalar Quantization: VQ-VAE Made Simple
736. ICLR 2024FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
737. ICLR 2024Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification
738. ICLR 2024Frequency-Aware Transformer for Learned Image Compression
739. ICLR 2024FROSTER: Frozen CLIP is A Strong Teacher for Open-Vocabulary Action Recognition
740. ICLR 2024Frozen Transformers in Language Models Are Effective Visual Encoder Layers
741. ICLR 2024Fully Hyperbolic Convolutional Neural Networks for Computer Vision
742. ICLR 2024Functional Interpolation for Relative Positions improves Long Context Transformers
743. ICLR 2024GAIA: a benchmark for General AI Assistants
744. ICLR 2024GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules
745. ICLR 2024Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
746. ICLR 2024Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
747. ICLR 2024Grounding Multimodal Large Language Models to the World
748. ICLR 2024Guiding Instruction-based Image Editing via Multimodal Large Language Models
749. ICLR 2024Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
750. ICLR 2024Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs

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.