Li, M., Zhang, X., Xin, J., Zhang, H., & Lin, J. (2022). Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking Presented at the Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking Primary Tabs View conference. Retrieved from https://aclanthology.org/2022.emnlp-main.23
Reference author: Minghan Li
First name
Minghan
Last name
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 ArXiv, abs/2302.07452. https://doi.org/10.48550/arXiv.2302.07452
Zhang, X., Li, M., & Lin, J. (2023). Improving Out-of-Distribution Generalization of Neural Rerankers With Contextualized Late Interaction ArXiv, abs/2302.06589. https://doi.org/10.48550/arXiv.2302.06589
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
Li, M., Zhang, X., Xin, J., Zhang, H., & Lin, J. (2022). Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking Presented at the Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking conference. Retrieved from https://aclanthology.org/2022.emnlp-main.23
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
Zhang, X., Li, M., & Lin, J. (2023). Improving Out-of-Distribution Generalization of Neural Rerankers With Contextualized Late Interaction ArXiv, abs/2302.06589. https://doi.org/10.48550/arXiv.2302.06589
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 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