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Mayur Patidar

4 papers

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papers

Publications (4)

cs.CL2023

Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions

Mayur Patidar, Prayushi Faldu, Avinash Singh +3

When answering natural language questions over knowledge bases, missing facts, incomplete schema and limited scope naturally lead to many questions being unanswerable. While answer…

cs.CL2024

Translating Across Cultures: LLMs for Intralingual Cultural Adaptation

Pushpdeep Singh, Mayur Patidar, Lovekesh Vig

LLMs are increasingly being deployed for multilingual applications and have demonstrated impressive translation capabilities between several low and high-resource languages. An asp…

cs.CL2025

DBRouting: Routing End User Queries to Databases for Answerability

Priyangshu Mandal, Manasi Patwardhan, Mayur Patidar +1

Enterprise level data is often distributed across multiple sources and identifying the correct set-of data-sources with relevant information for a knowledge request is a fundamenta…

cs.CL2024

Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning

Mayur Patidar, Riya Sawhney, Avinash Singh +3

Existing Knowledge Base Question Answering (KBQA) architectures are hungry for annotated data, which make them costly and time-consuming to deploy. We introduce the problem of few-…

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