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 36 of 39

1751. ICML 2024Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
1752. ICML 2024Using Left and Right Brains Together: Towards Vision and Language Planning
1753. ICML 2024Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization
1754. ICML 2024VideoPoet: A Large Language Model for Zero-Shot Video Generation
1755. ICML 2024ViP: A Differentially Private Foundation Model for Computer Vision
1756. ICML 2024Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
1757. ICML 2024Vision Transformers as Probabilistic Expansion from Learngene
1758. ICML 2024VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context
1759. ICML 2024Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
1760. ICML 2024Watermarks in the Sand: Impossibility of Strong Watermarking for Language Models
1761. ICML 2024Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
1762. ICML 2024What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions
1763. ICML 2024Why Do You Grok? A Theoretical Analysis on Grokking Modular Addition
1764. ICML 2024Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
1765. ICML 2023$\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
1766. ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
1767. ICML 2023A Closer Look at Self-Supervised Lightweight Vision Transformers
1768. ICML 2023A Watermark for Large Language Models
1769. ICML 2023Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems
1770. ICML 2023Approximate Stein Classes for Truncated Density Estimation
1771. ICML 2023Approximately Optimal Core Shapes for Tensor Decompositions
1772. ICML 2023Approximation Algorithms for Fair Range Clustering
1773. ICML 2023Are Large Kernels Better Teachers than Transformers for ConvNets?
1774. ICML 2023Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
1775. ICML 2023Bag of Tricks for Training Data Extraction from Language Models
1776. ICML 2023BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
1777. ICML 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
1778. ICML 2023BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models
1779. ICML 2023Calibrating Multimodal Learning
1780. ICML 2023Can Forward Gradient Match Backpropagation?
1781. ICML 2023ClimaX: A foundation model for weather and climate
1782. ICML 2023CLUSTSEG: Clustering for Universal Segmentation
1783. ICML 2023CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks
1784. ICML 2023COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects
1785. ICML 2023Concept-based Explanations for Out-of-Distribution Detectors
1786. ICML 2023Cones: Concept Neurons in Diffusion Models for Customized Generation
1787. ICML 2023Continual Vision-Language Representation Learning with Off-Diagonal Information
1788. ICML 2023Continuous Spatiotemporal Transformer
1789. ICML 2023Coordinate Descent Methods for Fractional Minimization
1790. ICML 2023Data Poisoning Attacks Against Multimodal Encoders
1791. ICML 2023Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations
1792. ICML 2023Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
1793. ICML 2023Demystifying Disagreement-on-the-Line in High Dimensions
1794. ICML 2023Distilling Internet-Scale Vision-Language Models into Embodied Agents
1795. ICML 2023Dual Focal Loss for Calibration
1796. ICML 2023dugMatting: Decomposed-Uncertainty-Guided Matting
1797. ICML 2023Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
1798. ICML 2023Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language
1799. ICML 2023Equivariant Architectures for Learning in Deep Weight Spaces
1800. ICML 2023ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object 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.