SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation.

Ines Besrour|Jingbo He|Tobias Schreieder|Michael Färber


Anthology ID:DBLP:conf/cikm/BesrourHS025
Volume:Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
Year:2025
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:6603-6608
URL:https://doi.org/10.1145/3746252.3761471
DOI:https://doi.org/10.1145/3746252.3761471
DBLP:conf/cikm/BesrourHS025
BibTeX:
@inproceedings{besrour-2025-squai, author = {Ines Besrour and Jingbo He and Tobias Schreieder and Michael F\"{a}rber}, editor = {Meeyoung Cha and Carl Yang and Senjuti Basu Roy and Chanyoung Park and Zhenhui Jessie Li and Noseong Park and Carl Yang and Senjuti Basu Roy and Zhenhui Jessie Li and Jaap Kamps and Kijung Shin and Bryan Hooi and Lifang He}, title = {{SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {6603--6608}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3761471}, doi = {https://doi.org/10.1145/3746252.3761471} }