Papers by Shivam Bajaj

1 papers
QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration (2024.naacl-demo)

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Challenge: Formulating effective search queries can be a daunting task for users when they lack expertise in a specific domain or are not proficient in the language of the content.
Approach: QueryExplorer is an interactive query generation, reformulation, and retrieval interface with support for Hug-gingFace generation models and PyTerrier’sretrieval pipelines and datasets.
Outcome: QueryExplorer is an interactive query generation, reformulation, and retrieval interface with support for Hug-gingFace generation models and PyTerrier’sretrieval pipelines and datasets, and extensivelogging of human feedback.

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