Reference author: Jimmy Lin

Voorhees, E. M., Craswell, N., & Lin, J. (2022). Too Many Relevants: Whither Cranfield Test Collections? Presented at the Too Many Relevants: Whither Cranfield Test Collections? conference. https://doi.org/10.1145/3477495.3531728

Ma, X., Pradeep, R., Nogueira, R., & Lin, J. (2022). Document Expansion Baselines and Learned Sparse Lexical Representations For MS MARCO V1 and V2 Presented at the Document Expansion Baselines and Learned Sparse Lexical Representations For MS MARCO V1 and V2 conference. https://doi.org/10.1145/3477495.3531749

Trotman, A., Mackenzie, J., Parameswaran, P., & Lin, J. (2022). A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods Presented at the A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods conference. https://doi.org/10.1145/3477495.3531657

Seltzer, J., Cheng, K., Zong, S., & Lin, J. (2022). Flipping the Script: Inverse Information Seeking Dialogues for Market Research Presented at the Flipping the Script: Inverse Information Seeking Dialogues for Market Research conference. https://doi.org/10.1145/3477495.3536326

Zhong, W., Xie, Y., & Lin, J. (2022). Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, Clef Presented at the Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, Clef conference. Retrieved from http://ceur-ws.org/Vol-3180/paper-09.pdf

Xin, J., Tang, R., Jiang, Z., Yu, Y., & Lin, J. (2022). Building an Efficiency Pipeline: Commutativity and Cumulativeness Of Efficiency Operators for Transformers ArXiv, abs/2208.00483. https://doi.org/10.48550/arXiv.2208.00483

Lin, S.-C., Li, M., & Lin, J. (2022). Aggretriever: A Simple Approach to Aggregate Textual Representation For Robust Dense Passage Retrieval ArXiv, abs/2208.00511. https://doi.org/10.48550/arXiv.2208.00511

Liu, L., Li, M., Lin, J., Riedel, S., & Stenetorp, P. (2022). Query Expansion Using Contextual Clue Sampling With Language Models ArXiv, abs/2210.07093. https://doi.org/10.48550/arXiv.2210.07093

Ogundepo, O., Zhang, X., & Lin, J. (2022). Better Than Whitespace: Information Retrieval for Languages Without Custom Tokenizers ArXiv, abs/2210.05481. https://doi.org/10.48550/arXiv.2210.05481

Tang, R., Pandey, A., Jiang, Z., Yang, G., Kumar, K., Lin, J., & Türe, F. (2022). What the DAAM: Interpreting Stable Diffusion Using Cross Attention ArXiv, abs/2210.04885. https://doi.org/10.48550/arXiv.2210.04885