This research uses multimodal large language models (MLLMs) to enhance art appreciation education. The study introduces LLaVA-Docent, a model developed using MLLMs that aims to improve access and engagement in…
Continue readingThe article presents SA-MDKIF, a scalable and adaptable framework designed to inject medical domain knowledge into Large Language Models (LLMs). The goal is to improve their performance in medical tasks….
Continue readingThe paper introduces ‘Superfiltering’, a method for data filtering in instruction tuning of Large Language Models (LLMs). Instruction tuning improves LLMs but often suffers from low-quality and redundant data. The…
Continue readingThe study introduces a new approach, Parameter-Efficient Sparsity Crafting (PESC), to improve the performance of Large Language Models (LLMs) in instruction tuning tasks. Instruction tuning enhances the ability of LLMs…
Continue readingThis paper introduces LLM-ST, a model for speech translation developed from a pre-trained large language model (LLM). The model integrates a speech encoder with the LLM and uses multi-task instruction…
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