Papers by Adarsh Singh

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Challenge:	Existing methods for open-domain table question answering require retraining or fine-tuning on new datasets.
Approach:	They propose a zero-shot, cascaded retrieval approach that uses a sparse retrieval model to filter a subset of candidates before applying more expensive dense models as re-rankers.
Outcome:	The proposed method outperforms state-of-the-art retrieval models on the NQ-Tables dataset.