Zheng, Zaiyi, Wang, Song, Chen, Zihan, Zhu, Yaochen, He, Yinhan, Hong, Liangjie, Guo, Qi, and Li, Jundong. CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture. Retrieved from https://par.nsf.gov/biblio/10657165. Web. doi:10.18653/v1/2025.findings-emnlp.872.

Zheng, Zaiyi, Wang, Song, Chen, Zihan, Zhu, Yaochen, He, Yinhan, Hong, Liangjie, Guo, Qi, & Li, Jundong. CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture. Retrieved from https://par.nsf.gov/biblio/10657165. https://doi.org/10.18653/v1/2025.findings-emnlp.872

Zheng, Zaiyi, Wang, Song, Chen, Zihan, Zhu, Yaochen, He, Yinhan, Hong, Liangjie, Guo, Qi, and Li, Jundong. "CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture". Country unknown/Code not available: Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-emnlp.872. https://par.nsf.gov/biblio/10657165.

@article{osti_10657165,
place = {Country unknown/Code not available}, title = {CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture}, url = {https://par.nsf.gov/biblio/10657165}, DOI = {10.18653/v1/2025.findings-emnlp.872}, abstractNote = {Not Available}, journal = {}, publisher = {Association for Computational Linguistics}, author = {Zheng, Zaiyi and Wang, Song and Chen, Zihan and Zhu, Yaochen and He, Yinhan and Hong, Liangjie and Guo, Qi and Li, Jundong}, }