3 papers
cs.CL2026
ReLay: Personalized LLM-Generated Plain-Language Summaries for Better Understanding, but at What Cost?
Joey Chan, Yikun Han, Jingyuan Chen +8
Plain Language Summaries (PLS) aim to make research accessible to lay readers, but they are typically written in a one-size-fits-all style that ignores differences in readers' info…
cs.CL2025
Are LLM-generated plain language summaries truly understandable? A large-scale crowdsourced evaluation
Yue Guo, Jae Ho Sohn, Gondy Leroy +1
Plain language summaries (PLSs) are essential for facilitating effective communication between clinicians and patients by making complex medical information easier for laypeople to…
cs.CL2025
APPLS: Evaluating Evaluation Metrics for Plain Language Summarization
Yue Guo, Tal August, Gondy Leroy +2
While there has been significant development of models for Plain Language Summarization (PLS), evaluation remains a challenge. PLS lacks a dedicated assessment metric, and the suit…