:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lee, Sua, Shin, Kyubum, Park, Jung Ho
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition
Accès en ligne:	https://arxiv.org/abs/2507.07147
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Separated Inter/Intra-Modal Fusion Prompts for Compositional Zero-Shot Learning
par: Jung, Sua
Publié: (2025)

MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge
par: Lee, Sua, et autres
Publié: (2026)

By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting
par: Yoon, Hyungjun, et autres
Publié: (2024)

LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
par: Lan, Zhibin, et autres
Publié: (2025)

ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
par: Cai, Mu, et autres
Publié: (2023)

Differentiable Prompt Learning for Vision Language Models
par: Huang, Zhenhan, et autres
Publié: (2024)

MINR: Implicit Neural Representations with Masked Image Modelling
par: Lee, Sua, et autres
Publié: (2025)

Semantically-Prompted Language Models Improve Visual Descriptions
par: Ogezi, Michael, et autres
Publié: (2023)

Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge
par: Lin, Yuanze, et autres
Publié: (2024)

Bayesian Principles Improve Prompt Learning In Vision-Language Models
par: Kim, Mingyu, et autres
Publié: (2025)

ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models
par: Lee, Jewon, et autres
Publié: (2025)

Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering
par: Guo, Danfeng, et autres
Publié: (2024)

Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering
par: Gupta, Akash, et autres
Publié: (2025)

Large Language Models can Share Images, Too!
par: Lee, Young-Jun, et autres
Publié: (2023)

Compositional Chain-of-Thought Prompting for Large Multimodal Models
par: Mitra, Chancharik, et autres
Publié: (2023)

Promptception: How Sensitive Are Large Multimodal Models to Prompts?
par: Ismithdeen, Mohamed Insaf, et autres
Publié: (2025)

REMONI: An Autonomous System Integrating Wearables and Multimodal Large Language Models for Enhanced Remote Health Monitoring
par: Ho, Thanh Cong, et autres
Publié: (2025)

VLind-Bench: Measuring Language Priors in Large Vision-Language Models
par: Lee, Kang-il, et autres
Publié: (2024)

Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
par: Min, Kyungmin, et autres
Publié: (2024)

FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging
par: Fan, Ziyang, et autres
Publié: (2026)

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
par: Zhou, Andy, et autres
Publié: (2024)

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models
par: Zhang, Yichi, et autres
Publié: (2024)

Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models
par: Kim, Donghoon, et autres
Publié: (2024)

OLKAVS: An Open Large-Scale Korean Audio-Visual Speech Dataset
par: Park, Jeongkyun, et autres
Publié: (2023)

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
par: Woo, Sangmin, et autres
Publié: (2025)

Vision Language Models for Dynamic Human Activity Recognition in Healthcare Settings
par: Abid, Abderrazek, et autres
Publié: (2025)

Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding
par: Cai, Mu, et autres
Publié: (2023)

Large Body Language Models
par: Punjwani, Saif, et autres
Publié: (2024)

Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)
par: Kenthapadi, Krishnaram, et autres
Publié: (2024)

Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models
par: He, Hulingxiao, et autres
Publié: (2025)

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
par: Liu, Dongyang, et autres
Publié: (2024)

Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models
par: Kriz, Anita, et autres
Publié: (2025)

KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language
par: Kim, Yoonshik, et autres
Publié: (2025)

Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models
par: Huang, Chengyue, et autres
Publié: (2025)

GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks
par: Kang, Haoqiang, et autres
Publié: (2025)

Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation
par: Maracani, Andrea, et autres
Publié: (2025)

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
par: Ye, Jiabo, et autres
Publié: (2024)

Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
par: Zhai, Yuexiang, et autres
Publié: (2024)

COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
par: Kim, Sanghwan, et autres
Publié: (2024)

A Survey on Multimodal Large Language Models
par: Yin, Shukang, et autres
Publié: (2023)