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Bridging the Data Provenance Gap Across Text, Speech and Video
Progress in AI is driven largely by the scale and quality of training data. Despite this, there is
a deficit of empirical analysis examining the attributes of well-established datasets beyond …
a deficit of empirical analysis examining the attributes of well-established datasets beyond …
Large Multimodal Models for Low-Resource Languages: A Survey
In this survey, we systematically analyze techniques used to adapt large multimodal models
(LMMs) for low-resource (LR) languages, examining approaches ranging from visual …
(LMMs) for low-resource (LR) languages, examining approaches ranging from visual …
SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia
This study introduces two novel benchmarks, SeaExam and SeaBench, designed to
evaluate the capabilities of Large Language Models (LLMs) in Southeast Asian (SEA) …
evaluate the capabilities of Large Language Models (LLMs) in Southeast Asian (SEA) …