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 222 of 225

11051. NeurIPS 2023MultiVENT: Multilingual Videos of Events and Aligned Natural Text
11052. NeurIPS 2023NIS3D: A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation
11053. NeurIPS 2023Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
11054. NeurIPS 2023NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding
11055. NeurIPS 2023OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
11056. NeurIPS 2023Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
11057. NeurIPS 2023On Evaluating Adversarial Robustness of Large Vision-Language Models
11058. NeurIPS 2023On the choice of Perception Loss Function for Learned Video Compression
11059. NeurIPS 2023On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets
11060. NeurIPS 2023On the Planning Abilities of Large Language Models - A Critical Investigation
11061. NeurIPS 2023On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
11062. NeurIPS 2023On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
11063. NeurIPS 2023OpenDataVal: a Unified Benchmark for Data Valuation
11064. NeurIPS 2023OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
11065. NeurIPS 2023Operation-Level Early Stopping for Robustifying Differentiable NAS
11066. NeurIPS 2023Optimal approximation using complex-valued neural networks
11067. NeurIPS 2023Optimal Learners for Realizable Regression: PAC Learning and Online Learning
11068. NeurIPS 2023Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
11069. NeurIPS 2023PaintSeg: Painting Pixels for Training-free Segmentation
11070. NeurIPS 2023PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
11071. NeurIPS 2023Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
11072. NeurIPS 2023Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
11073. NeurIPS 2023Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
11074. NeurIPS 2023Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions
11075. NeurIPS 2023Parts of Speech–Grounded Subspaces in Vision-Language Models
11076. NeurIPS 2023Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
11077. NeurIPS 2023Paxion: Patching Action Knowledge in Video-Language Foundation Models
11078. NeurIPS 2023Perception Test: A Diagnostic Benchmark for Multimodal Video Models
11079. NeurIPS 2023Personalized Dictionary Learning for Heterogeneous Datasets
11080. NeurIPS 2023PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance
11081. NeurIPS 2023PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
11082. NeurIPS 2023POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images
11083. NeurIPS 2023Post Hoc Explanations of Language Models Can Improve Language Models
11084. NeurIPS 2023Precise asymptotic generalization for multiclass classification with overparameterized linear models
11085. NeurIPS 2023Preference-grounded Token-level Guidance for Language Model Fine-tuning
11086. NeurIPS 2023Principled Weight Initialisation for Input-Convex Neural Networks
11087. NeurIPS 2023ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab
11088. NeurIPS 2023Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
11089. NeurIPS 2023PromptIR: Prompting for All-in-One Image Restoration
11090. NeurIPS 2023ProPILE: Probing Privacy Leakage in Large Language Models
11091. NeurIPS 2023Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
11092. NeurIPS 2023PTQD: Accurate Post-Training Quantization for Diffusion Models
11093. NeurIPS 2023PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
11094. NeurIPS 2023Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models
11095. NeurIPS 2023QLoRA: Efficient Finetuning of Quantized LLMs
11096. NeurIPS 2023Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
11097. NeurIPS 2023Quilt-1M: One Million Image-Text Pairs for Histopathology
11098. NeurIPS 2023QuIP: 2-Bit Quantization of Large Language Models With Guarantees
11099. NeurIPS 2023RaLEs: a Benchmark for Radiology Language Evaluations
11100. NeurIPS 2023Random-Access Infinite Context Length for Transformers

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.