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

323 papers, page 2 of 7

51. ICML 2024Coactive Learning for Large Language Models using Implicit User Feedback
52. ICML 2024COALA: A Practical and Vision-Centric Federated Learning Platform
53. ICML 2024Code as Reward: Empowering Reinforcement Learning with VLMs
54. ICML 2024COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
55. ICML 2024Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
56. ICML 2024Compositional Curvature Bounds for Deep Neural Networks
57. ICML 2024Conditional Common Entropy for Instrumental Variable Testing and Partial Identification
58. ICML 2024Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
59. ICML 2024ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models
60. ICML 2024Copyright Traps for Large Language Models
61. ICML 2024Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
62. ICML 2024CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
63. ICML 2024CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
64. ICML 2024CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
65. ICML 2024Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
66. ICML 2024Debating with More Persuasive LLMs Leads to More Truthful Answers
67. ICML 2024DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning
68. ICML 2024Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
69. ICML 2024Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
70. ICML 2024DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
71. ICML 2024Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
72. ICML 2024Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA
73. ICML 2024Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View
74. ICML 2024diff History for Neural Language Agents
75. ICML 2024Differentially private exact recovery for stochastic block models
76. ICML 2024Differentially Private Representation Learning via Image Captioning
77. ICML 2024Distinguishing the Knowable from the Unknowable with Language Models
78. ICML 2024DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)
79. ICML 2024Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
80. ICML 2024eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
81. ICML 2024Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
82. ICML 2024Efficient Exploration for LLMs
83. ICML 2024Eluder-based Regret for Stochastic Contextual MDPs
84. ICML 2024Emergent Equivariance in Deep Ensembles
85. ICML 2024Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models
86. ICML 2024Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
87. ICML 2024Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
88. ICML 2024ERQ: Error Reduction for Post-Training Quantization of Vision Transformers
89. ICML 2024Estimating Barycenters of Distributions with Neural Optimal Transport
90. ICML 2024Estimating Canopy Height at Scale
91. ICML 2024Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models
92. ICML 2024Evaluating Quantized Large Language Models
93. ICML 2024Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
94. ICML 2024Evolving Subnetwork Training for Large Language Models
95. ICML 2024EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
96. ICML 2024Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
97. ICML 2024Exploiting Code Symmetries for Learning Program Semantics
98. ICML 2024Exploring Intrinsic Dimension for Vision-Language Model Pruning
99. ICML 2024Extracting Training Data From Document-Based VQA Models
100. ICML 2024Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models

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.