Li, M. ., Lin, S.-C. ., Oguz, B. ., Ghoshal, A. ., Lin, J. ., Mehdad, Y. ., Yih, W.- tau ., & Chen, X. . (2022). CITADEL: Conditional Token Interaction via Dynamic Lexical Routing For Efficient and Effective Multi-Vector Retrieval. ArXiv, abs/2211.10411. https://doi.org/10.48550/arXiv.2211.10411
Reference author: Sheng-Chieh Lin
First name
Sheng-Chieh
Last name
Lin
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. ArXiv, abs/2302.07452. https://doi.org/10.48550/arXiv.2302.07452
Li, M. ., Lin, S.-C. ., Ma, X. ., & Lin, J. . (2023). SLIM: Sparsified Late Interaction for Multi-Vector Retrieval With Inverted Indexes. ArXiv, abs/2302.06587. https://doi.org/10.48550/arXiv.2302.06587
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. ArXiv, abs/2302.07452. https://doi.org/10.48550/arXiv.2302.07452
Li, M. ., Lin, S.-C. ., Ma, X. ., & Lin, J. . (2023). SLIM: Sparsified Late Interaction for Multi-Vector Retrieval With Inverted Indexes. ArXiv, abs/2302.06587. https://doi.org/10.48550/arXiv.2302.06587
Lin, S.-C. ., & Lin, J. . (2023). A Dense Representation Framework for Lexical and Semantic Matching. ACM Transactions on Information Systems (TOIS), 41, 1-110. https://doi.org/10.1145/3582426
Lin, S.-C. ., & Lin, J. . (2023). A Dense Representation Framework for Lexical and Semantic Matching. ACM Transactions on Information Systems (TOIS), 41, 1-110. https://doi.org/10.1145/3582426
Lin, S.-C. ., Ahmad, A. ., & Lin, J. . (2023). mAggretriever: A Simple Yet Effective Approach to Zero-Shot Multilingual Dense Retrieval. MAggretriever: A Simple Yet Effective Approach to Zero-Shot Multilingual Dense Retrieval. Presented at the. Retrieved from https://aclanthology.org/2023.emnlp-main.715
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
Lin, S.-C. ., Ahmad, A. ., & Lin, J. . (2023). mAggretriever: A Simple Yet Effective Approach to Zero-Shot Multilingual Dense Retrieval. MAggretriever: A Simple Yet Effective Approach to Zero-Shot Multilingual Dense Retrieval. Presented at the. Retrieved from https://aclanthology.org/2023.emnlp-main.715