Enhancing Biomedical Question Answering with Parameter-Efficient Fine-Tuning and Hierarchical Retrieval Augmented Generation.

@inproceedings{gao-2024-enhancing, author = {Yichen Gao and Licheng Zong and Yu Li}, editor = {Guglielmo Faggioli and Nicola Ferro and Petra Galusc\'{a}kov\'{a} and Alba Garcia Seco de Herrera}, title = {{Enhancing Biomedical Question Answering with Parameter-Efficient Fine-Tuning and Hierarchical Retrieval Augmented Generation}}, booktitle = {{Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024}}, series = {CEUR Workshop Proceedings}, volume = {3740}, pages = {117--129}, publisher = {CEUR-WS.org}, year = {2024}, url = {https://ceur-ws.org/Vol-3740/paper-10.pdf} }