activity
20192026
most citedMuRIL: Multilingual Representations for Indian Languages

160 citations · 288 across the 25 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

Towards Automatic Evaluation for Image Transcreation

Simran Khanuja, Vivek Iyer, Claire He +1

Beyond conventional paradigms of translating speech and text, recently, there has been interest in automated transcreation of images to facilitate localization of visual content ac…

cs.CL2024★ 2 cited

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

Xiang Yue, Yueqi Song, Akari Asai +7

Despite recent advances in multimodal large language models (MLLMs), their development has predominantly focused on English- and western-centric datasets and tasks, leaving most of…

cs.CV2024★ 3 cited

NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples

Baiqi Li, Zhiqiu Lin, Wenxuan Peng +7

Vision-language models (VLMs) have made significant progress in recent visual-question-answering (VQA) benchmarks that evaluate complex visio-linguistic reasoning. However, are the…

cs.CL2024

An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance

Simran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song +1

Given the rise of multimedia content, human translators increasingly focus on culturally adapting not only words but also other modalities such as images to convey the same meaning…

cs.CL2024

What Is Missing in Multilingual Visual Reasoning and How to Fix It

Yueqi Song, Simran Khanuja, Graham Neubig

NLP models today strive for supporting multiple languages and modalities, improving accessibility for diverse users. In this paper, we evaluate their multilingual, multimodal capab…