Reference author: Minghan Li

Lin, S.-C., Asai, A., Li, M., Oguz, B., Lin, J., Mehdad, Y., … Chen, X. (2023). How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval Presented at the How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval conference. Retrieved from https://aclanthology.org/2023.findings-emnlp.423

Li, M., Zhuang, H., Hui, K., Qin, Z., Lin, J., Jagerman, R., … Bendersky, M. (2023). Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers ArXiv, abs/2311.09175. https://doi.org/10.48550/ARXIV.2311.09175

Lin, S.-C., Li, M., & Lin, J. (2023). Aggretriever: A Simple Approach to Aggregate Textual Representations For Robust Dense Passage Retrieval Transactions of the Association for Computational Linguistics, 11, 436-452. https://doi.org/10.1162/TACL_A_00556

Li, M., Chen, X., Holtzman, A., Chen, B., Lin, J., Yih, W.- tau, & Lin, X. V. (2024). Nearest Neighbor Speculative Decoding for LLM Generation and Attribution ArXiv, abs/2405.19325. https://doi.org/10.48550/ARXIV.2405.19325