Papers by Yachun Fan

1 papers
NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM (2025.findings-acl)

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Challenge: High-performance vision-and-language navigation models require large amounts of training data, the high cost of manual annotating has seriously hindered this field.
Approach: They propose a retrieval-augmented generation framework that generates user demand instructions for vision-and-language navigation.
Outcome: The proposed model achieves SOTA performance on the REVERIE benchmark.

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