most citedChatGPT and Bard Responses to Polarizing Questions

5 citations · 6 across the 2 of their papers we have counts for

collaborators

5 papers

cs.SI2024

User Archetypes and Information Dynamics on Telegram: COVID-19 and Climate Change Discourse in Singapore

Val Alvern Cueco Ligo, Lam Yin Cheung, Roy Ka-Wei Lee +3

Social media platforms, particularly Telegram, play a pivotal role in shaping public perceptions and opinions on global and national issues. Unlike traditional news media, Telegram…

cs.HC20231 cited

Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care

Adam Valen Levinson, Abhay Goyal, Roger Ho Chun Man +7

Telehealth is a valuable tool for primary health care (PHC), where depression is a common condition. PHC is the first point of contact for most people with depression, but about 25…

cs.CL20235 cited

ChatGPT and Bard Responses to Polarizing Questions

Abhay Goyal, Muhammad Siddique, Nimay Parekh +9

Recent developments in natural language processing have demonstrated the potential of large language models (LLMs) to improve a range of educational and learning outcomes. Of recen…

cs.CL2023

How is Fatherhood Framed Online in Singapore?

Tran Hien Van, Abhay Goyal, Muhammad Siddique +7

The proliferation of discussion about fatherhood in Singapore attests to its significance, indicating the need for an exploration of how fatherhood is framed, aiding policy-making…

cs.CE2023

Predicting Opioid Use Outcomes in Minoritized Communities

Abhay Goyal, Nimay Parekh, Lam Yin Cheung +8

Machine learning algorithms can sometimes exacerbate health disparities based on ethnicity, gender, and other factors. There has been limited work at exploring potential biases wit…