11 citations · 19 across the 11 of their papers we have counts for
5 papers · 1 filter
RoundTable: Leveraging Dynamic Schema and Contextual Autocomplete for Enhanced Query Precision in Tabular Question Answering
Pratyush Kumar, Kuber Vijaykumar Bellad, Bharat Vadlamudi +1
With advancements in Large Language Models (LLMs), a major use case that has emerged is querying databases in plain English, translating user questions into executable database que…
Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification
Christos Constantinou, Georgios Ioannides, Aman Chadha +2
Detecting out-of-distribution (OOD) data is crucial in machine learning applications to mitigate the risk of model overconfidence, thereby enhancing the reliability and safety of d…
MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries
Akash Ghosh, Arkadeep Acharya, Prince Jha +7
In the healthcare domain, summarizing medical questions posed by patients is critical for improving doctor-patient interactions and medical decision-making. Although medical data h…
The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations
Vipula Rawte, Swagata Chakraborty, Agnibh Pathak +5
The recent advancements in Large Language Models (LLMs) have garnered widespread acclaim for their remarkable emerging capabilities. However, the issue of hallucination has paralle…
Artificial Intelligence in Career Counseling: A Test Case with ResumAI
Muhammad Rahman, Sachi Figliolini, Joyce Kim +4
The rise of artificial intelligence (AI) has led to various means of integration of AI aimed to provide efficiency in tasks, one of which is career counseling. A key part of gettin…