Cover Image

A Multimodal Recaptioning Framework to Account for Perceptual Diversity Across Languages in Vision-Language Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Buettner, Kyle, Emmerson, Jacob T., Kovashka, Adriana
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval
by: Buettner, Kyle, et al.
Published: (2024)

Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition
by: Buettner, Kyle, et al.
Published: (2024)

RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction
by: Wang, Yuchi, et al.
Published: (2025)

Anthropogenic Regional Adaptation in Multimodal Vision-Language Model
by: Cahyawijaya, Samuel, et al.
Published: (2026)

Object Detection with Multimodal Large Vision-Language Models: An In-depth Review
by: Sapkota, Ranjan, et al.
Published: (2025)

Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models
by: Van, Minh-Hao, et al.
Published: (2025)

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
by: Zhong, Weihong, et al.
Published: (2024)

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features
by: Mitra, Chancharik, et al.
Published: (2024)

Non-Contrastive Vision-Language Learning with Predictive Embedding Alignment
by: Kuhn, Lukas, et al.
Published: (2026)

Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains
by: Zhang, Juntian, et al.
Published: (2025)

Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
by: Li, Yanshu
Published: (2025)

VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
by: Jiang, Ziyan, et al.
Published: (2024)

More Distinctively Black and Feminine Faces Lead to Increased Stereotyping in Vision-Language Models
by: Lee, Messi H. J., et al.
Published: (2024)

Modeling Caption Diversity in Contrastive Vision-Language Pretraining
by: Lavoie, Samuel, et al.
Published: (2024)

Revisiting the Role of Language Priors in Vision-Language Models
by: Lin, Zhiqiu, et al.
Published: (2023)

Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
by: Wu, Jiulong, et al.
Published: (2025)

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
by: Wu, Zhiyu, et al.
Published: (2024)

LangNav: Language as a Perceptual Representation for Navigation
by: Pan, Bowen, et al.
Published: (2023)

Analyzing Diffusion and Autoregressive Vision Language Models in Multimodal Embedding Space
by: Wang, Zihang, et al.
Published: (2026)

YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models
by: Nandy, Abhilash, et al.
Published: (2024)

Model Composition for Multimodal Large Language Models
by: Chen, Chi, et al.
Published: (2024)

Probing Perceptual Constancy in Large Vision-Language Models
by: Sun, Haoran, et al.
Published: (2025)

LEGO Co-builder: Exploring Fine-Grained Vision-Language Modeling for Multimodal LEGO Assembly Assistants
by: Huang, Haochen, et al.
Published: (2025)

Vision Token Reduction via Attention-Driven Self-Compression for Efficient Multimodal Large Language Models
by: Deniz, Omer Faruk, et al.
Published: (2026)

Survey on Vision-Language-Action Models
by: Adilkhanov, Adilzhan, et al.
Published: (2025)

A Survey on Agentic Multimodal Large Language Models
by: Yao, Huanjin, et al.
Published: (2025)

A Survey on Benchmarks of Multimodal Large Language Models
by: Li, Jian, et al.
Published: (2024)

A Survey on Evaluation of Multimodal Large Language Models
by: Huang, Jiaxing, et al.
Published: (2024)

KorMedMCQA-V: A Multimodal Benchmark for Evaluating Vision-Language Models on the Korean Medical Licensing Examination
by: Choi, Byungjin, et al.
Published: (2026)

VLind-Bench: Measuring Language Priors in Large Vision-Language Models
by: Lee, Kang-il, et al.
Published: (2024)

Do Visual Imaginations Improve Vision-and-Language Navigation Agents?
by: Perincherry, Akhil, et al.
Published: (2025)

EmbodiedMidtrain: Bridging the Gap between Vision-Language Models and Vision-Language-Action Models via Mid-training
by: Du, Yiyang, et al.
Published: (2026)

Multimodal Chain-of-Thought Reasoning in Language Models
by: Zhang, Zhuosheng, et al.
Published: (2023)

How Do Vision-Language Models Process Conflicting Information Across Modalities?
by: Hua, Tianze, et al.
Published: (2025)

Multi-Object Hallucination in Vision-Language Models
by: Chen, Xuweiyi, et al.
Published: (2024)

Benchmarking Vision Language Models for Cultural Understanding
by: Nayak, Shravan, et al.
Published: (2024)

A Novel Framework for Automated Explain Vision Model Using Vision-Language Models
by: Nguyen, Phu-Vinh, et al.
Published: (2025)

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
by: Chen, Dongping, et al.
Published: (2024)

ChartHal: A Fine-grained Framework Evaluating Hallucination of Large Vision Language Models in Chart Understanding
by: Wang, Xingqi, et al.
Published: (2025)

Leveraging Large Models to Evaluate Novel Content: A Case Study on Advertisement Creativity
by: Hou, Zhaoyi Joey, et al.
Published: (2025)