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 193 of 225

9601. NeurIPS 2024Classification Done Right for Vision-Language Pre-Training
9602. NeurIPS 2024Classifier-guided Gradient Modulation for Enhanced Multimodal Learning
9603. NeurIPS 2024ClevrSkills: Compositional Language And Visual Reasoning in Robotics
9604. NeurIPS 2024CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
9605. NeurIPS 2024CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
9606. NeurIPS 2024Cloud Object Detector Adaptation by Integrating Different Source Knowledge
9607. NeurIPS 2024Coarse-to-Fine Concept Bottleneck Models
9608. NeurIPS 2024CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
9609. NeurIPS 2024CogVLM: Visual Expert for Pretrained Language Models
9610. NeurIPS 2024CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
9611. NeurIPS 2024COLD: Causal reasOning in cLosed Daily activities
9612. NeurIPS 2024ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
9613. NeurIPS 2024Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
9614. NeurIPS 2024Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
9615. NeurIPS 2024ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
9616. NeurIPS 2024Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
9617. NeurIPS 2024Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
9618. NeurIPS 2024Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
9619. NeurIPS 2024ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models
9620. NeurIPS 2024ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models
9621. NeurIPS 2024CountGD: Multi-Modal Open-World Counting
9622. NeurIPS 2024cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers
9623. NeurIPS 2024Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions
9624. NeurIPS 2024Cross-modal Representation Flattening for Multi-modal Domain Generalization
9625. NeurIPS 2024CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence
9626. NeurIPS 2024CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
9627. NeurIPS 2024Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise
9628. NeurIPS 2024DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
9629. NeurIPS 2024Data curation via joint example selection further accelerates multimodal learning
9630. NeurIPS 2024Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
9631. NeurIPS 2024Deep Correlated Prompting for Visual Recognition with Missing Modalities
9632. NeurIPS 2024DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
9633. NeurIPS 2024Déjà Vu Memorization in Vision–Language Models
9634. NeurIPS 2024Dense Connector for MLLMs
9635. NeurIPS 2024DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
9636. NeurIPS 2024Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning
9637. NeurIPS 2024DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
9638. NeurIPS 2024DevBench: A multimodal developmental benchmark for language learning
9639. NeurIPS 2024Diffusion-Inspired Truncated Sampler for Text-Video Retrieval
9640. NeurIPS 2024DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
9641. NeurIPS 2024DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
9642. NeurIPS 2024Do Multimodal Foundation Models Understand Enterprise Workflows? A Benchmark for Business Process Management Tasks
9643. NeurIPS 2024Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?
9644. NeurIPS 2024Domain Adaptation for Large-Vocabulary Object Detectors
9645. NeurIPS 2024DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM
9646. NeurIPS 2024Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
9647. NeurIPS 2024E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding
9648. NeurIPS 2024E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
9649. NeurIPS 2024EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas
9650. NeurIPS 2024Easy Regional Contrastive Learning of Expressive Fashion Representations

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.