1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
Evaluate Summarization in Fine-Granularity: Auto Evaluation with LLM
Dong Yuan, Eti Rastogi, Fen Zhao +3
Due to the exponential growth of information and the need for efficient information consumption the task of summarization has gained paramount importance. Evaluating summarization…
cs.LG2024
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness
Kacy Zhou, Jiawen Wen, Nan Yang +3
While deep learning has become a core functional module of most software systems, concerns regarding the fairness of ML predictions have emerged as a significant issue that affects…
cs.CL2024
A Continued Pretrained LLM Approach for Automatic Medical Note Generation
Dong Yuan, Eti Rastogi, Gautam Naik +5
LLMs are revolutionizing NLP tasks. However, the use of the most advanced LLMs, such as GPT-4, is often prohibitively expensive for most specialized fields. We introduce HEAL, the…