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

1,716 papers, page 14 of 35

651. ICLR 2024AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
652. ICLR 2024ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
653. ICLR 2024At Which Training Stage Does Code Data Help LLMs Reasoning?
654. ICLR 2024BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
655. ICLR 2024Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
656. ICLR 2024Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning
657. ICLR 2024Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
658. ICLR 2024Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
659. ICLR 2024BooookScore: A systematic exploration of book-length summarization in the era of LLMs
660. ICLR 2024Boosting Vanilla Lightweight Vision Transformers via Re-parameterization
661. ICLR 2024Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification
662. ICLR 2024Boundary Denoising for Video Activity Localization
663. ICLR 2024BrainLM: A foundation model for brain activity recordings
664. ICLR 2024BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity
665. ICLR 2024Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages
666. ICLR 2024Bridging Vision and Language Spaces with Assignment Prediction
667. ICLR 2024C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
668. ICLR 2024CABINET: Content Relevance-based Noise Reduction for Table Question Answering
669. ICLR 2024CAMBranch: Contrastive Learning with Augmented MILPs for Branching
670. ICLR 2024Can Large Language Models Infer Causation from Correlation?
671. ICLR 2024Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
672. ICLR 2024Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
673. ICLR 2024Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
674. ICLR 2024Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
675. ICLR 2024Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
676. ICLR 2024Causal-StoNet: Causal Inference for High-Dimensional Complex Data
677. ICLR 2024Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
678. ICLR 2024Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
679. ICLR 2024Circuit Component Reuse Across Tasks in Transformer Language Models
680. ICLR 2024CLEX: Continuous Length Extrapolation for Large Language Models
681. ICLR 2024CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
682. ICLR 2024CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
683. ICLR 2024CoBIT: A Contrastive Bi-directional Image-Text Generation Model
684. ICLR 2024Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
685. ICLR 2024Compressing LLMs: The Truth is Rarely Pure and Never Simple
686. ICLR 2024Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
687. ICLR 2024Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
688. ICLR 2024Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
689. ICLR 2024Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
690. ICLR 2024Consistency-guided Prompt Learning for Vision-Language Models
691. ICLR 2024Constrained Decoding for Cross-lingual Label Projection
692. ICLR 2024ContextRef: Evaluating Referenceless Metrics for Image Description Generation
693. ICLR 2024Controlling Vision-Language Models for Multi-Task Image Restoration
694. ICLR 2024Coordinate-Aware Modulation for Neural Fields
695. ICLR 2024COSA: Concatenated Sample Pretrained Vision-Language Foundation Model
696. ICLR 2024CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding
697. ICLR 2024CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
698. ICLR 2024DAM: Towards a Foundation Model for Forecasting
699. ICLR 2024Data-independent Module-aware Pruning for Hierarchical Vision Transformers
700. ICLR 2024Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders

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.