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

3,319 papers, page 55 of 67

2701. NeurIPS 2024MoVA: Adapting Mixture of Vision Experts to Multimodal Context
2702. NeurIPS 2024MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs
2703. NeurIPS 2024Multi-modal Situated Reasoning in 3D Scenes
2704. NeurIPS 2024Multilingual Diversity Improves Vision-Language Representations
2705. NeurIPS 2024Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
2706. NeurIPS 2024Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
2707. NeurIPS 2024MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
2708. NeurIPS 2024MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models
2709. NeurIPS 2024NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
2710. NeurIPS 2024Needle In A Multimodal Haystack
2711. NeurIPS 2024Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction
2712. NeurIPS 2024No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
2713. NeurIPS 2024No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models
2714. NeurIPS 2024NoiseGPT: Label Noise Detection and Rectification through Probability Curvature
2715. NeurIPS 2024Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods
2716. NeurIPS 2024NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
2717. NeurIPS 2024Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding
2718. NeurIPS 2024OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
2719. NeurIPS 2024OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding
2720. NeurIPS 2024OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
2721. NeurIPS 2024One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
2722. NeurIPS 2024One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
2723. NeurIPS 2024OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images
2724. NeurIPS 2024Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
2725. NeurIPS 2024Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks
2726. NeurIPS 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
2727. NeurIPS 2024Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models
2728. NeurIPS 2024PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation
2729. NeurIPS 2024Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
2730. NeurIPS 2024Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
2731. NeurIPS 2024PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
2732. NeurIPS 2024PLIP: Language-Image Pre-training for Person Representation Learning
2733. NeurIPS 2024PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond
2734. NeurIPS 2024Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
2735. NeurIPS 2024Prejudice and Volatility: A Statistical Framework for Measuring Social Discrimination in Large Language Models
2736. NeurIPS 2024Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
2737. NeurIPS 2024Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
2738. NeurIPS 2024Private Attribute Inference from Images with Vision-Language Models
2739. NeurIPS 2024Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness
2740. NeurIPS 2024PromptFix: You Prompt and We Fix the Photo
2741. NeurIPS 2024Propensity Score Alignment of Unpaired Multimodal Data
2742. NeurIPS 2024Prune and Repaint: Content-Aware Image Retargeting for any Ratio
2743. NeurIPS 2024Q-VLM: Post-training Quantization for Large Vision-Language Models
2744. NeurIPS 2024QBB: Quantization with Binary Bases for LLMs
2745. NeurIPS 2024QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization
2746. NeurIPS 2024RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
2747. NeurIPS 2024Recognize Any Regions
2748. NeurIPS 2024Referring Human Pose and Mask Estimation In the Wild
2749. NeurIPS 2024Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation
2750. NeurIPS 2024ReMI: A Dataset for Reasoning with Multiple Images

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.