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 220 of 225

10951. NeurIPS 2023Guide Your Agent with Adaptive Multimodal Rewards
10952. NeurIPS 2023Guiding Large Language Models via Directional Stimulus Prompting
10953. NeurIPS 2023H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
10954. NeurIPS 2023HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding
10955. NeurIPS 2023Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition
10956. NeurIPS 2023HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception
10957. NeurIPS 2023Hardware Resilience Properties of Text-Guided Image Classifiers
10958. NeurIPS 2023Hierarchical Integration Diffusion Model for Realistic Image Deblurring
10959. NeurIPS 2023HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count
10960. NeurIPS 2023Holistic Evaluation of Text-to-Image Models
10961. NeurIPS 2023HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
10962. NeurIPS 2023HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
10963. NeurIPS 2023IEBins: Iterative Elastic Bins for Monocular Depth Estimation
10964. NeurIPS 2023Im-Promptu: In-Context Composition from Image Prompts
10965. NeurIPS 2023Image Captioners Are Scalable Vision Learners Too
10966. NeurIPS 2023ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification
10967. NeurIPS 2023Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
10968. NeurIPS 2023Improving CLIP Training with Language Rewrites
10969. NeurIPS 2023Improving multimodal datasets with image captioning
10970. NeurIPS 2023In-Context Impersonation Reveals Large Language Models' Strengths and Biases
10971. NeurIPS 2023Incomplete Multimodality-Diffused Emotion Recognition
10972. NeurIPS 2023Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
10973. NeurIPS 2023Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization
10974. NeurIPS 2023INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis
10975. NeurIPS 2023InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
10976. NeurIPS 2023Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes
10977. NeurIPS 2023Intelligent Knee Sleeves: A Real-time Multimodal Dataset for 3D Lower Body Motion Estimation Using Smart Textile
10978. NeurIPS 2023Into the LAION’s Den: Investigating Hate in Multimodal Datasets
10979. NeurIPS 2023Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
10980. NeurIPS 2023Joint processing of linguistic properties in brains and language models
10981. NeurIPS 2023Joint Prompt Optimization of Stacked LLMs using Variational Inference
10982. NeurIPS 2023JourneyDB: A Benchmark for Generative Image Understanding
10983. NeurIPS 2023Kiki or Bouba? Sound Symbolism in Vision-and-Language Models
10984. NeurIPS 2023Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
10985. NeurIPS 2023L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors
10986. NeurIPS 2023LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections
10987. NeurIPS 2023LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
10988. NeurIPS 2023Language Is Not All You Need: Aligning Perception with Language Models
10989. NeurIPS 2023Language Model Tokenizers Introduce Unfairness Between Languages
10990. NeurIPS 2023Language Models are Weak Learners
10991. NeurIPS 2023Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
10992. NeurIPS 2023Language Models can Solve Computer Tasks
10993. NeurIPS 2023Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
10994. NeurIPS 2023Language Models Meet World Models: Embodied Experiences Enhance Language Models
10995. NeurIPS 2023Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment
10996. NeurIPS 2023Large Language Models are Visual Reasoning Coordinators
10997. NeurIPS 2023Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
10998. NeurIPS 2023Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
10999. NeurIPS 2023Large Language Models of Code Fail at Completing Code with Potential Bugs
11000. NeurIPS 2023Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows

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.