Reference author: Jimmy Lin

Shi, P., Zhang, R., Bai, H., & Lin, J. (2022). XRICL: Cross-Lingual Retrieval-Augmented in-Context Learning For Cross-Lingual Text-to-SQL Semantic Parsing Presented at the XRICL: Cross-Lingual Retrieval-Augmented In-Context Learning For Cross-Lingual Text-to-SQL Semantic Parsing conference. Retrieved from https://aclanthology.org/2022.findings-emnlp.384

Zhong, W., Yang, J.-H., Xie, Y., & Lin, J. (2022). Evaluating Token-Level and Passage-Level Dense Retrieval Models For Math Information Retrieval Presented at the Evaluating Token-Level and Passage-Level Dense Retrieval Models For Math Information Retrieval conference. Retrieved from https://aclanthology.org/2022.findings-emnlp.78

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

Durvasula, S., Kiguru, R., Mathur, S., Xu, J., Lin, J., & Vijaykumar, N. (2022). VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks Presented at the VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks conference. https://doi.org/10.1145/3559009.3569675

Akiki, C., Ogundepo, O., Piktus, A., Zhang, X., Oladipo, A., Lin, J., & Potthast, M. (2023). Spacerini: Plug-and-Play Search Engines With Pyserini and Hugging Face ArXiv, abs/2302.14534. https://doi.org/10.48550/arXiv.2302.14534

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

Tamber, M. S., Pradeep, R., & Lin, J. (2023). Pre-Processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering Presented at the Pre-Processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering conference. https://doi.org/10.1007/978-3-031-28241-6_11

Pradeep, R., Chen, H., Gu, L., Tamber, M. S., & Lin, J. (2023). PyGaggle: A Gaggle of Resources for Open-Domain Question Answering Presented at the PyGaggle: A Gaggle of Resources for Open-Domain Question Answering conference. https://doi.org/10.1007/978-3-031-28241-6_10