An automated evaluation agent for Q&A pairs and reticular synthesis conditions
Article 2025 en
Authors
NR
Nakul Rampal
DF
Dongrong Joe Fu
CZ
Chengbin Zhao
Abstract
1 min read
QAutoEval is an automated evaluation agent for Q&A datasets and reticular synthesis conditions, enabling reproducible benchmarking and transparent assessment of LLM driven workflows in reticular chemistry.
Nakul Rampal, Dongrong Joe Fu, Chengbin Zhao, Hanan S. Murayshid, Albatool A. Abaalkhail, Nahla Alhazmi, Majed O. Alawad, Christian Borgs, Jennifer Chayes, Omar M Yaghi
Nakul Rampal, Kaiyu Wang, Matthew Burigana, Lingxiang Hou, Juri Al-Johani, Anna Sackmann, Hanan S. Murayshid, Walaa Abdullah Al-Sumari, Arwa M. Al-Abdulkarim, Nahla Eid Al-Hazmi, Majed O. Al-Awad, Christian Borgs, Jennifer Chayes, Omar M Yaghi
Nakul Rampal, Kaiyu Wang, Matthew Burigana, Lingxiang Hou, Juri Al-Johani, Anna Sackmann, Hanan S. Murayshid, Walaa Abdullah Al-Sumari, Arwa M. Al-Abdulkarim, Nahla Alhazmi, Majed O. Alawad, Christian Borgs, Jennifer Chayes, Omar M Yaghi
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