Abstract: Retrieval-Augmented Generation (RAG) has emerged as an effective approach for question answering over domain-specific documents by grounding large language model outputs in external ...
Abstract: Embodied Question Answering (EQA) is an essential yet challenging task for robot assistants. Large vision-language models (VLMs) have shown promise for EQA, but existing approaches either ...
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