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 216 of 225

10751. ICML 2023SpotEM: Efficient Video Search for Episodic Memory
10752. ICML 2023Stabilizing Transformer Training by Preventing Attention Entropy Collapse
10753. ICML 2023Statistical Learning under Heterogenous Distribution Shift
10754. ICML 2023Structure-informed Language Models Are Protein Designers
10755. ICML 2023Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction
10756. ICML 2023SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes
10757. ICML 2023Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization
10758. ICML 2023Temporally Consistent Transformers for Video Generation
10759. ICML 2023Tight Data Access Bounds for Private Top-$k$ Selection
10760. ICML 2023Tighter Analysis for ProxSkip
10761. ICML 2023Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
10762. ICML 2023Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks
10763. ICML 2023Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
10764. ICML 2023Tractable Control for Autoregressive Language Generation
10765. ICML 2023TRAK: Attributing Model Behavior at Scale
10766. ICML 2023Traversing Between Modes in Function Space for Fast Ensembling
10767. ICML 2023Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer
10768. ICML 2023Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases
10769. ICML 2023Unifying Nesterov's Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions
10770. ICML 2023UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
10771. ICML 2023VIMA: Robot Manipulation with Multimodal Prompts
10772. ICML 2023Whose Opinions Do Language Models Reflect?
10773. ICML 2023Why do Nearest Neighbor Language Models Work?
10774. ICML 2023Why Is Public Pretraining Necessary for Private Model Training?
10775. NeurIPS 20233D-LLM: Injecting the 3D World into Large Language Models
10776. NeurIPS 20234M: Massively Multimodal Masked Modeling
10777. NeurIPS 2023A case for reframing automated medical image classification as segmentation
10778. NeurIPS 2023A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
10779. NeurIPS 2023A Robust Exact Algorithm for the Euclidean Bipartite Matching Problem
10780. NeurIPS 2023A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
10781. NeurIPS 2023A Theory of Multimodal Learning
10782. NeurIPS 2023A Unified Framework for U-Net Design and Analysis
10783. NeurIPS 2023Achieving Cross Modal Generalization with Multimodal Unified Representation
10784. NeurIPS 2023Active Reasoning in an Open-World Environment
10785. NeurIPS 2023Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
10786. NeurIPS 2023AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
10787. NeurIPS 2023AiluRus: A Scalable ViT Framework for Dense Prediction
10788. NeurIPS 2023AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs
10789. NeurIPS 2023ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers
10790. NeurIPS 2023Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
10791. NeurIPS 2023Aligning Gradient and Hessian for Neural Signed Distance Function
10792. NeurIPS 2023Aligning Language Models with Human Preferences via a Bayesian Approach
10793. NeurIPS 2023Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
10794. NeurIPS 2023Alleviating the Semantic Gap for Generalized fMRI-to-Image Reconstruction
10795. NeurIPS 2023Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
10796. NeurIPS 2023Alternating Updates for Efficient Transformers
10797. NeurIPS 2023AmadeusGPT: a natural language interface for interactive animal behavioral analysis
10798. NeurIPS 2023An $\varepsilon$-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond
10799. NeurIPS 2023An Inverse Scaling Law for CLIP Training
10800. NeurIPS 2023An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement

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.