19 citations · 45 across the 11 of their papers we have counts for
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cs.CL2023★ 9 cited
Learning to Filter Context for Retrieval-Augmented Generation
Zhiruo Wang, Jun Araki, Zhengbao Jiang +2
On-the-fly retrieval of relevant knowledge has proven an essential element of reliable systems for tasks such as open-domain question answering and fact verification. However, beca…
cs.CL2023★ 7 cited
API-Assisted Code Generation for Question Answering on Varied Table Structures
Yihan Cao, Shuyi Chen, Ryan Liu +2
A persistent challenge to table question answering (TableQA) by generating executable programs has been adapting to varied table structures, typically requiring domain-specific log…
cs.CL2023
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning
I-Chun Chern, Zhiruo Wang, Sanjan Das +3
Modern abstractive summarization models often generate summaries that contain hallucinated or contradictory information. In this paper, we propose a simple but effective contrastiv…