Wang, Haoyu, Li, Ruirui, Jiang, Haoming, Tian, Jinjin, Wang, Zhengyang, Luo, Chen, Tang, Xianfeng, Cheng, Monica Xiao, Zhao, Tuo, and Gao, Jing. BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. Retrieved from https://par.nsf.gov/biblio/10554703.

Wang, Haoyu, Li, Ruirui, Jiang, Haoming, Tian, Jinjin, Wang, Zhengyang, Luo, Chen, Tang, Xianfeng, Cheng, Monica Xiao, Zhao, Tuo, & Gao, Jing. BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. Retrieved from https://par.nsf.gov/biblio/10554703.

Wang, Haoyu, Li, Ruirui, Jiang, Haoming, Tian, Jinjin, Wang, Zhengyang, Luo, Chen, Tang, Xianfeng, Cheng, Monica Xiao, Zhao, Tuo, and Gao, Jing. "BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering". Country unknown/Code not available: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. https://par.nsf.gov/biblio/10554703.

@article{osti_10554703,
place = {Country unknown/Code not available}, title = {BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering}, url = {https://par.nsf.gov/biblio/10554703}, abstractNote = {}, journal = {}, publisher = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing}, author = {Wang, Haoyu and Li, Ruirui and Jiang, Haoming and Tian, Jinjin and Wang, Zhengyang and Luo, Chen and Tang, Xianfeng and Cheng, Monica Xiao and Zhao, Tuo and Gao, Jing}, }