Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization

Z Zhang, RG Reddy, K Small, T Zhang, H Ji - arXiv preprint arXiv …, 2024 - arxiv.org
Open-domain Question Answering (OpenQA) aims at answering factual questions with an
external large-scale knowledge corpus. However, real-world knowledge is not static; it …

Enabling the Informed Patient Paradigm with Secure and Personalized Medical Question Answering

J Oduro-Afriyie, HM Jamil - Proceedings of the 14th ACM International …, 2023 - dl.acm.org
Quality patient care is a complex and multifaceted problem requiring the integration of data
from multiple sources. We propose Medicient, a knowledge-graph-based question …

Knowledge Graph Enhancement for Improved Natural Language Health Question Answering using Large Language Models

HM Jamil, J Oduro-Afriyie - … of the 36th International Conference on …, 2024 - dl.acm.org
In this paper we present a method for enhancing Question Answering (QA) systems by
iteratively improving Knowledge Graphs (KGs) with a focus on maintaining monotonicity in …

Improving Personal Health Question Answering Through Knowledge Graph Enhancement

J Oduro-Afriyie - 2024 - search.proquest.com
Personal health question answering (PHQA) systems have the potential to revolutionize
healthcare delivery by providing individuals with personalized and accurate health …

Knowledge Management in the Era of Aigc: Review of Domain Knowledge Graph

R Pi, L Guo, J Yang, J LENG, Y Lu, F Yan - Available at SSRN 5093869 - papers.ssrn.com
In the era of AIGC (Artificial Intelligence Generated Content), knowledge management faces
multiple challenges, including knowledge fragmentation, rapid updates, and accuracy …