Information Retrieval / Question Answering
Building effective, efficient information retrieval (IR) systems is important and challenging, and such systems are indispensable for our daily lives. We need to be aware of latency, accuracy, contents, misinformation, and more. Information retrieval is also an essential component of question answering (QA) systems. Especially for Web-based QA systems, we retrieve relevant documents from tons of web articles by ranking them given a query, and extracting correct answers from such a large search space is challenging.
Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages
ACL 2023 (Findings)
This work was done while Shivanshu Gupta was an applied science intern at Amazon Alexa AI.Paper Amazon Science Preprint Xtr-WikiQA TyDi-AS2
Ensemble Transformer for Eﬀicient and Accurate Ranking Tasks: an Application to Question Answering Systems
EMNLP 2022 (Findings)
This work was done while I was an applied science intern at Amazon Alexa AI.Paper Amazon Science Preprint Code