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

446 papers, page 2 of 9

51. NeurIPS 2024BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
52. NeurIPS 2024Boosting Vision-Language Models with Transduction
53. NeurIPS 2024Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
54. NeurIPS 2024Bridge the Modality and Capability Gaps in Vision-Language Model Selection
55. NeurIPS 2024CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
56. NeurIPS 2024Calibrated Self-Rewarding Vision Language Models
57. NeurIPS 2024CALVIN: Improved Contextual Video Captioning via Instruction Tuning
58. NeurIPS 2024Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
59. NeurIPS 2024Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
60. NeurIPS 2024Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation
61. NeurIPS 2024CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
62. NeurIPS 2024CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
63. NeurIPS 2024CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
64. NeurIPS 2024ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model
65. NeurIPS 2024CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
66. NeurIPS 2024Classification Done Right for Vision-Language Pre-Training
67. NeurIPS 2024Classifier-guided Gradient Modulation for Enhanced Multimodal Learning
68. NeurIPS 2024ClevrSkills: Compositional Language And Visual Reasoning in Robotics
69. NeurIPS 2024CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
70. NeurIPS 2024CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
71. NeurIPS 2024Cloud Object Detector Adaptation by Integrating Different Source Knowledge
72. NeurIPS 2024Coarse-to-Fine Concept Bottleneck Models
73. NeurIPS 2024CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
74. NeurIPS 2024CogVLM: Visual Expert for Pretrained Language Models
75. NeurIPS 2024CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
76. NeurIPS 2024COLD: Causal reasOning in cLosed Daily activities
77. NeurIPS 2024ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
78. NeurIPS 2024Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
79. NeurIPS 2024Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
80. NeurIPS 2024ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
81. NeurIPS 2024Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
82. NeurIPS 2024Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
83. NeurIPS 2024Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
84. NeurIPS 2024ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models
85. NeurIPS 2024ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models
86. NeurIPS 2024CountGD: Multi-Modal Open-World Counting
87. NeurIPS 2024cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers
88. NeurIPS 2024Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions
89. NeurIPS 2024Cross-modal Representation Flattening for Multi-modal Domain Generalization
90. NeurIPS 2024CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence
91. NeurIPS 2024CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
92. NeurIPS 2024Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise
93. NeurIPS 2024DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
94. NeurIPS 2024Data curation via joint example selection further accelerates multimodal learning
95. NeurIPS 2024Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
96. NeurIPS 2024Deep Correlated Prompting for Visual Recognition with Missing Modalities
97. NeurIPS 2024DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
98. NeurIPS 2024Déjà Vu Memorization in Vision–Language Models
99. NeurIPS 2024Dense Connector for MLLMs
100. NeurIPS 2024DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

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.