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 217 of 225

10801. NeurIPS 2023Analyzing Vision Transformers for Image Classification in Class Embedding Space
10802. NeurIPS 2023AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution
10803. NeurIPS 2023ANPL: Towards Natural Programming with Interactive Decomposition
10804. NeurIPS 2023Any-to-Any Generation via Composable Diffusion
10805. NeurIPS 2023Are Diffusion Models Vision-And-Language Reasoners?
10806. NeurIPS 2023Are Emergent Abilities of Large Language Models a Mirage?
10807. NeurIPS 2023Are These the Same Apple? Comparing Images Based on Object Intrinsics
10808. NeurIPS 2023ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training
10809. NeurIPS 2023ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition
10810. NeurIPS 2023Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
10811. NeurIPS 2023Augmenting Language Models with Long-Term Memory
10812. NeurIPS 2023Auslan-Daily: Australian Sign Language Translation for Daily Communication and News
10813. NeurIPS 2023Balanced Training for Sparse GANs
10814. NeurIPS 2023Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
10815. NeurIPS 2023Benchmarking Foundation Models with Language-Model-as-an-Examiner
10816. NeurIPS 2023Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset
10817. NeurIPS 2023Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
10818. NeurIPS 2023BERT Lost Patience Won't Be Robust to Adversarial Slowdown
10819. NeurIPS 2023Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation
10820. NeurIPS 2023BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
10821. NeurIPS 2023Block-State Transformers
10822. NeurIPS 2023BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information
10823. NeurIPS 2023Bootstrapping Vision-Language Learning with Decoupled Language Pre-training
10824. NeurIPS 2023Brain encoding models based on multimodal transformers can transfer across language and vision
10825. NeurIPS 2023Brant: Foundation Model for Intracranial Neural Signal
10826. NeurIPS 2023Break It Down: Evidence for Structural Compositionality in Neural Networks
10827. NeurIPS 2023C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
10828. NeurIPS 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
10829. NeurIPS 2023CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches
10830. NeurIPS 2023Can Language Models Solve Graph Problems in Natural Language?
10831. NeurIPS 2023Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization
10832. NeurIPS 2023CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
10833. NeurIPS 2023Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer
10834. NeurIPS 2023CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care
10835. NeurIPS 2023CAST: Cross-Attention in Space and Time for Video Action Recognition
10836. NeurIPS 2023Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
10837. NeurIPS 2023Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
10838. NeurIPS 2023ChatGPT-Powered Hierarchical Comparisons for Image Classification
10839. NeurIPS 2023Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
10840. NeurIPS 2023Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models
10841. NeurIPS 2023CLadder: Assessing Causal Reasoning in Language Models
10842. NeurIPS 2023CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
10843. NeurIPS 2023COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
10844. NeurIPS 2023Cola: A Benchmark for Compositional Text-to-image Retrieval
10845. NeurIPS 2023Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
10846. NeurIPS 2023Compact Neural Volumetric Video Representations with Dynamic Codebooks
10847. NeurIPS 2023Composable Coresets for Determinant Maximization: Greedy is Almost Optimal
10848. NeurIPS 2023Compositional Foundation Models for Hierarchical Planning
10849. NeurIPS 2023Computational Guarantees for Doubly Entropic Wasserstein Barycenters
10850. NeurIPS 2023Computing a human-like reaction time metric from stable recurrent vision models

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.