Lin, S.-C. ., Asai, A. ., Li, M. ., Oguz, B. ., Lin, J. ., Mehdad, Y. ., Yih, W.- tau ., & Chen, X. . (2023). How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. Presented at the. Retrieved from https://aclanthology.org/2023.findings-emnlp.423
Reference author: Minghan Li
First name
Minghan
Last name
Li
Li, M. ., Zhuang, H. ., Hui, K. ., Qin, Z. ., Lin, J. ., Jagerman, R. ., Wang, X. ., & 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