52 citations · 124 across the 21 of their papers we have counts for
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cs.CL2021★ 5 cited
Can Explanations Be Useful for Calibrating Black Box Models?
Xi Ye, Greg Durrett
NLP practitioners often want to take existing trained models and apply them to data from new domains. While fine-tuning or few-shot learning can be used to adapt a base model, ther…
cs.CL2021
RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
Xi Ye, Semih Yavuz, Kazuma Hashimoto +2
Existing KBQA approaches, despite achieving strong performance on i.i.d. test data, often struggle in generalizing to questions involving unseen KB schema items. Prior ranking-base…
cs.CL2021
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals
Xi Ye, Rohan Nair, Greg Durrett
When a model attribution technique highlights a particular part of the input, a user might understand this highlight as making a statement about counterfactuals (Miller, 2019): if…