Reference author: Jimmy Lin

Li, M., Li, M., Xiong, K., & Lin, J. (2021). Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering Presented at the Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering conference. Retrieved from https://aclanthology.org/2021.findings-emnlp.26

Tang, R., Kumar, K., Chalkley, K., Xin, J., Zhang, L., Li, W., … Lin, J. (2021). Voice Query Auto Completion Presented at the Voice Query Auto Completion conference. Retrieved from https://aclanthology.org/2021.emnlp-main.68

Lin, S.-C., Yang, J.-H., & Lin, J. (2021). Contextualized Query Embeddings for Conversational Search Presented at the Contextualized Query Embeddings for Conversational Search conference. Retrieved from https://aclanthology.org/2021.emnlp-main.77

Ma, X., Li, M., Sun, K., Xin, J., & Lin, J. (2021). Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval Presented at the Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval conference. Retrieved from https://aclanthology.org/2021.emnlp-main.227

Lin, J., Nogueira, R., & Yates, A. (2021). Pretrained Transformers for Text Ranking: BERT and Beyond Morgan \& Claypool. https://doi.org/10.2200/S01123ED1V01Y202108HLT053

Lin, S.-C., & Lin, J. (2021). Densifying Sparse Representations for Passage Retrieval by Representational Slicing ArXiv, abs/2112.04666. Retrieved from https://arxiv.org/abs/2112.04666

Pradeep, R., Liu, Y., Zhang, X., Li, Y., Yates, A., & Lin, J. (2022). Squeezing Water From a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking Presented at the Squeezing Water From a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking conference. https://doi.org/10.1007/978-3-030-99736-6_44

Ma, X., Sun, K., Pradeep, R., Li, M., & Lin, J. (2022). Another Look at DPR: Reproduction of Training and Replication Of Retrieval Presented at the Another Look at DPR: Reproduction of Training and Replication Of Retrieval conference. https://doi.org/10.1007/978-3-030-99736-6_41

Voorhees, E. M., Soboroff, I., & Lin, J. (2022). Can Old TREC Collections Reliably Evaluate Modern Neural Retrieval Models? ArXiv, abs/2201.11086. Retrieved from https://arxiv.org/abs/2201.11086

Devins, J., Tibshirani, J., & Lin, J. (2022). Aligning the Research and Practice of Building Search Applications: Elasticsearch and Pyserini Presented at the Aligning the Research and Practice of Building Search Applications: Elasticsearch and Pyserini conference. https://doi.org/10.1145/3488560.3502186