3 citations · 6 across the 8 of their papers we have counts for
4 papers · 1 filter
Towards leveraging LLMs for Conditional QA
Syed-Amad Hussain, Parag Pravin Dakle, SaiKrishna Rallabandi +1
This study delves into the capabilities and limitations of Large Language Models (LLMs) in the challenging domain of conditional question-answering. Utilizing the Conditional Quest…
Self-training Strategies for Sentiment Analysis: An Empirical Study
Haochen Liu, Sai Krishna Rallabandi, Yijing Wu +2
Sentiment analysis is a crucial task in natural language processing that involves identifying and extracting subjective sentiment from text. Self-training has recently emerged as a…
Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding
Parker Glenn, Parag Pravin Dakle, Preethi Raghavan
In addressing the task of converting natural language to SQL queries, there are several semantic and syntactic challenges. It becomes increasingly important to understand and remed…
HeySQuAD: A Spoken Question Answering Dataset
Yijing Wu, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy +3
Spoken question answering (SQA) systems are critical for digital assistants and other real-world use cases, but evaluating their performance is a challenge due to the importance of…