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cs.CL2024
CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization
Yixi Ding, Jiaying Wu, Tongyao Zhu +3
To broaden the dissemination of scientific knowledge to diverse audiences, it is desirable for scientific document summarization systems to simultaneously control multiple attribut…
cs.CL2024
ISQA: Informative Factuality Feedback for Scientific Summarization
Zekai Li, Yanxia Qin, Qian Liu +1
We propose Iterative Facuality Refining on Informative Scientific Question-Answering (ISQA) feedback\footnote{Code is available at \url{https://github.com/lizekai-richard/isqa}}, a…