RETINAQA : A Knowledge Base Question Answering Model Robust to both Answerable and Unanswerable Questions

no code implementations • 16 Mar 2024 • Prayushi Faldu, Indrajit Bhattacharya, Mausam

We propose a new model for KBQA named RetinaQA that is robust against unaswerability.

Knowledge Base Question Answering Retrieval +1

Neuro-symbolic Meta Reinforcement Learning for Trading

no code implementations • 15 Jan 2023 • S I Harini, Gautam Shroff, Ashwin Srinivasan, Prayushi Faldu, Lovekesh Vig

We model short-duration (e. g. day) trading in financial markets as a sequential decision-making problem under uncertainty, with the added complication of continual concept-drift.

Decision Making Meta Reinforcement Learning +3

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

no code implementations • 20 Dec 2022 • Mayur Patidar, Prayushi Faldu, Avinash Singh, Lovekesh Vig, Indrajit Bhattacharya, Mausam

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