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

11,207 papers, page 215 of 225

10701. ICML 2023ModelDiff: A Framework for Comparing Learning Algorithms
10702. ICML 2023mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
10703. ICML 2023MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
10704. ICML 2023Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests
10705. ICML 2023Nonparametric Extensions of Randomized Response for Private Confidence Sets
10706. ICML 2023On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
10707. ICML 2023On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
10708. ICML 2023On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
10709. ICML 2023On the Power of Foundation Models
10710. ICML 2023On the Role of Attention in Prompt-tuning
10711. ICML 2023One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
10712. ICML 2023Optimal No-Regret Learning for One-Sided Lipschitz Functions
10713. ICML 2023Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion
10714. ICML 2023Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
10715. ICML 2023Optimizing Mode Connectivity for Class Incremental Learning
10716. ICML 2023Oscillation-free Quantization for Low-bit Vision Transformers
10717. ICML 2023PAC Prediction Sets for Large Language Models of Code
10718. ICML 2023PaLM-E: An Embodied Multimodal Language Model
10719. ICML 2023Poisoning Language Models During Instruction Tuning
10720. ICML 2023Polynomial Preconditioning for Gradient Methods
10721. ICML 2023POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models
10722. ICML 2023Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
10723. ICML 2023Predictive Flows for Faster Ford-Fulkerson
10724. ICML 2023Pretraining Language Models with Human Preferences
10725. ICML 2023Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems
10726. ICML 2023Progressive Purification for Instance-Dependent Partial Label Learning
10727. ICML 2023Projected Tensor Power Method for Hypergraph Community Recovery
10728. ICML 2023Proper Scoring Rules for Survival Analysis
10729. ICML 2023Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist
10730. ICML 2023Provable Dynamic Fusion for Low-Quality Multimodal Data
10731. ICML 2023Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
10732. ICML 2023Random Shuffle Transformer for Image Restoration
10733. ICML 2023Regret-Minimizing Double Oracle for Extensive-Form Games
10734. ICML 2023Reparameterized Policy Learning for Multimodal Trajectory Optimization
10735. ICML 2023Representer Point Selection for Explaining Regularized High-dimensional Models
10736. ICML 2023Retrieval-Augmented Multimodal Language Modeling
10737. ICML 2023Revisiting Simple Regret: Fast Rates for Returning a Good Arm
10738. ICML 2023RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation
10739. ICML 2023Robustness in Multimodal Learning under Train-Test Modality Mismatch
10740. ICML 2023Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
10741. ICML 2023Scaling Laws for Generative Mixed-Modal Language Models
10742. ICML 2023Scaling Vision Transformers to 22 Billion Parameters
10743. ICML 2023SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
10744. ICML 2023Shapley Based Residual Decomposition for Instance Analysis
10745. ICML 2023SinFusion: Training Diffusion Models on a Single Image or Video
10746. ICML 2023Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
10747. ICML 2023Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
10748. ICML 2023Smart Initial Basis Selection for Linear Programs
10749. ICML 2023SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
10750. ICML 2023SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network 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.