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 38 of 39

1851. ICML 2023Optimizing Mode Connectivity for Class Incremental Learning
1852. ICML 2023Oscillation-free Quantization for Low-bit Vision Transformers
1853. ICML 2023PAC Prediction Sets for Large Language Models of Code
1854. ICML 2023PaLM-E: An Embodied Multimodal Language Model
1855. ICML 2023Poisoning Language Models During Instruction Tuning
1856. ICML 2023Polynomial Preconditioning for Gradient Methods
1857. ICML 2023POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models
1858. ICML 2023Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
1859. ICML 2023Predictive Flows for Faster Ford-Fulkerson
1860. ICML 2023Pretraining Language Models with Human Preferences
1861. ICML 2023Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems
1862. ICML 2023Progressive Purification for Instance-Dependent Partial Label Learning
1863. ICML 2023Projected Tensor Power Method for Hypergraph Community Recovery
1864. ICML 2023Proper Scoring Rules for Survival Analysis
1865. ICML 2023Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist
1866. ICML 2023Provable Dynamic Fusion for Low-Quality Multimodal Data
1867. ICML 2023Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
1868. ICML 2023Random Shuffle Transformer for Image Restoration
1869. ICML 2023Regret-Minimizing Double Oracle for Extensive-Form Games
1870. ICML 2023Reparameterized Policy Learning for Multimodal Trajectory Optimization
1871. ICML 2023Representer Point Selection for Explaining Regularized High-dimensional Models
1872. ICML 2023Retrieval-Augmented Multimodal Language Modeling
1873. ICML 2023Revisiting Simple Regret: Fast Rates for Returning a Good Arm
1874. ICML 2023RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation
1875. ICML 2023Robustness in Multimodal Learning under Train-Test Modality Mismatch
1876. ICML 2023Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
1877. ICML 2023Scaling Laws for Generative Mixed-Modal Language Models
1878. ICML 2023Scaling Vision Transformers to 22 Billion Parameters
1879. ICML 2023SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
1880. ICML 2023Shapley Based Residual Decomposition for Instance Analysis
1881. ICML 2023SinFusion: Training Diffusion Models on a Single Image or Video
1882. ICML 2023Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
1883. ICML 2023Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
1884. ICML 2023Smart Initial Basis Selection for Linear Programs
1885. ICML 2023SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
1886. ICML 2023SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference
1887. ICML 2023SpotEM: Efficient Video Search for Episodic Memory
1888. ICML 2023Stabilizing Transformer Training by Preventing Attention Entropy Collapse
1889. ICML 2023Statistical Learning under Heterogenous Distribution Shift
1890. ICML 2023Structure-informed Language Models Are Protein Designers
1891. ICML 2023Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction
1892. ICML 2023SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes
1893. ICML 2023Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization
1894. ICML 2023Temporally Consistent Transformers for Video Generation
1895. ICML 2023Tight Data Access Bounds for Private Top-$k$ Selection
1896. ICML 2023Tighter Analysis for ProxSkip
1897. ICML 2023Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
1898. ICML 2023Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks
1899. ICML 2023Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
1900. ICML 2023Tractable Control for Autoregressive Language Generation

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.