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

321 papers, page 2 of 7

51. ICLR 2024Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
52. ICLR 2024Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
53. ICLR 2024Circuit Component Reuse Across Tasks in Transformer Language Models
54. ICLR 2024CLEX: Continuous Length Extrapolation for Large Language Models
55. ICLR 2024CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
56. ICLR 2024CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
57. ICLR 2024CoBIT: A Contrastive Bi-directional Image-Text Generation Model
58. ICLR 2024Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
59. ICLR 2024Compressing LLMs: The Truth is Rarely Pure and Never Simple
60. ICLR 2024Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
61. ICLR 2024Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
62. ICLR 2024Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
63. ICLR 2024Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
64. ICLR 2024Consistency-guided Prompt Learning for Vision-Language Models
65. ICLR 2024Constrained Decoding for Cross-lingual Label Projection
66. ICLR 2024ContextRef: Evaluating Referenceless Metrics for Image Description Generation
67. ICLR 2024Controlling Vision-Language Models for Multi-Task Image Restoration
68. ICLR 2024Coordinate-Aware Modulation for Neural Fields
69. ICLR 2024COSA: Concatenated Sample Pretrained Vision-Language Foundation Model
70. ICLR 2024CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding
71. ICLR 2024CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
72. ICLR 2024DAM: Towards a Foundation Model for Forecasting
73. ICLR 2024Data-independent Module-aware Pruning for Hierarchical Vision Transformers
74. ICLR 2024Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders
75. ICLR 2024Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
76. ICLR 2024Democratizing Fine-grained Visual Recognition with Large Language Models
77. ICLR 2024Demystifying CLIP Data
78. ICLR 2024DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
79. ICLR 2024DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
80. ICLR 2024Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
81. ICLR 2024Does CLIP’s generalization performance mainly stem from high train-test similarity?
82. ICLR 2024Don't Judge by the Look: Towards Motion Coherent Video Representation
83. ICLR 2024Doubly Robust Proximal Causal Learning for Continuous Treatments
84. ICLR 2024DreamLLM: Synergistic Multimodal Comprehension and Creation
85. ICLR 2024Dual Associated Encoder for Face Restoration
86. ICLR 2024Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
87. ICLR 2024DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
88. ICLR 2024ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models
89. ICLR 2024Efficient Modulation for Vision Networks
90. ICLR 2024Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning
91. ICLR 2024Emu: Generative Pretraining in Multimodality
92. ICLR 2024Enhanced Face Recognition using Intra-class Incoherence Constraint
93. ICLR 2024Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
94. ICLR 2024Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
95. ICLR 2024Ensemble Distillation for Unsupervised Constituency Parsing
96. ICLR 2024EQA-MX: Embodied Question Answering using Multimodal Expression
97. ICLR 2024EventRPG: Event Data Augmentation with Relevance Propagation Guidance
98. ICLR 2024Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
99. ICLR 2024Exploring Target Representations for Masked Autoencoders
100. ICLR 2024FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs

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.