11 citations · 41 across the 17 of their papers we have counts for
18 papers
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
Ying-Chun Lin, Jennifer Neville, Jack W. Stokes +14
Accurate and interpretable user satisfaction estimation (USE) is critical for understanding, evaluating, and continuously improving conversational systems. Users express their sati…
Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes
Anant Khandelwal, Happy Mittal, Shreyas Sunil Kulkarni +1
E-commerce websites (e.g. Amazon) have a plethora of structured and unstructured information (text and images) present on the product pages. Sellers often either don't label or mis…
Empowering Language Model with Guided Knowledge Fusion for Biomedical Document Re-ranking
Deepak Gupta, Dina Demner-Fushman
Pre-trained language models (PLMs) have proven to be effective for document re-ranking task. However, they lack the ability to fully interpret the semantics of biomedical and healt…
Learning to Answer Multilingual and Code-Mixed Questions
Deepak Gupta
Question-answering (QA) that comes naturally to humans is a critical component in seamless human-computer interaction. It has emerged as one of the most convenient and natural meth…
CHQ-Summ: A Dataset for Consumer Healthcare Question Summarization
Shweta Yadav, Deepak Gupta, Dina Demner-Fushman
The quest for seeking health information has swamped the web with consumers' health-related questions. Generally, consumers use overly descriptive and peripheral information to exp…
A Dataset for Medical Instructional Video Classification and Question Answering
Deepak Gupta, Kush Attal, Dina Demner-Fushman
This paper introduces a new challenge and datasets to foster research toward designing systems that can understand medical videos and provide visual answers to natural language que…