Li, M., Lin, S.-C., Oguz, B., Ghoshal, A., Lin, J., Mehdad, Y., … 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., … 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., … 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 Presented at the MAggretriever: A Simple Yet Effective Approach to Zero-Shot Multilingual Dense Retrieval conference. Retrieved from https://aclanthology.org/2023.emnlp-main.715
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
Lin, S.-C., Ahmad, A., & Lin, J. (2023). mAggretriever: A Simple Yet Effective Approach to Zero-Shot Multilingual Dense Retrieval Presented at the MAggretriever: A Simple Yet Effective Approach to Zero-Shot Multilingual Dense Retrieval conference. Retrieved from https://aclanthology.org/2023.emnlp-main.715