most citedHuman Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks

3 citations · 3 across the 2 of their papers we have counts for

collaborators

7 papers

cs.HC2024

Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity

Siyi Wu, Weidan Cao, Shihan Fu +7

Cardiotoxicity induced by cancer treatment has become a major clinical concern, affecting the long-term survival and quality of life of cancer patients. Effective clinical decision…

cs.HC2024

"I Wish There Were an AI": Challenges and AI Potential in Cancer Patient-Provider Communication

Ziqi Yang, Xuhai Xu, Bingsheng Yao +4

Patient-provider communication has been crucial to cancer patients' survival after their cancer treatments. However, the research community and patients themselves often overlook t…

cs.HC20242 cited

Human-Centered Privacy Research in the Age of Large Language Models

Tianshi Li, Sauvik Das, Hao-Ping Lee +3

The emergence of large language models (LLMs), and their increased use in user-facing systems, has led to substantial privacy concerns. To date, research on these privacy concerns…

cs.CY20241 cited

Who Changed the Destiny of Rural Students, and How?: Unpacking ICT-Mediated Remote Education in Rural China

Yuling Sun, Xiuqi Zhu, Xiaomu Zhou +5

The proliferation of Information and Communication Technologies (ICTs) has shown great promise in addressing educational challenges facing rural areas. However, the complex rural c…

cs.CL20233 cited

Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks

Yuxuan Lu, Bingsheng Yao, Shao Zhang +5

Large Language Models (LLMs) have demonstrated considerable advances, and several claims have been made about their exceeding human performance. However, in real-world tasks, domai…

cs.CL2023

'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism

Ronald Cardenas, Bingsheng Yao, Dakuo Wang +1

Science journalism refers to the task of reporting technical findings of a scientific paper as a less technical news article to the general public audience. We aim to design an aut…