Zobrazeno 1 - 10
of 530
pro vyhledávání: '"Kim, Youngwoo"'
Most efforts in interpreting neural relevance models have focused on local explanations, which explain the relevance of a document to a query but are not useful in predicting the model's behavior on unseen query-document pairs. We propose a novel met
Externí odkaz:
http://arxiv.org/abs/2410.03584
Autor:
Park, Joontae, Shin, Weon Ho, Kim, Youngwoo, Park, Okmin, Cho, Hyungyu, Park, Sanghyun, Kim, BeomSoo, Seon, Seungchan, Kim, Hyun-Sik, Kim, Sang-il
Publikováno v:
In Materials Science in Semiconductor Processing 1 November 2024 182
Autor:
Tokuyasu, Hiroyuki, Tsushima, Eiki, Takemoto, Mitsuru, Vergari, Claudio, Tada, Hiroshi, Kim, Youngwoo
Publikováno v:
In Arthroplasty Today October 2024 29
Autor:
Bae, Sung Jin, Choi, Yoon Hee, Ryu, Seok Jin, Lee, Dong Hun, Choi, Yunhyung, Chun, Minsoo, Kim, Youngwoo, Lee, Dong Hoon
Publikováno v:
In American Journal of Emergency Medicine January 2025 87:123-129
We present GenEx, a generative model to explain search results to users beyond just showing matches between query and document words. Adding GenEx explanations to search results greatly impacts user satisfaction and search performance. Search engines
Externí odkaz:
http://arxiv.org/abs/2111.01314
Publikováno v:
In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM '21), November 1-5, 2021, Virtual Event, QLD, Australia. ACM, New York, NY, USA, 5 page
Transformer-based rankers have shown state-of-the-art performance. However, their self-attention operation is mostly unable to process long sequences. One of the common approaches to train these rankers is to heuristically select some segments of eac
Externí odkaz:
http://arxiv.org/abs/2109.04611
Autor:
Steinman, Theodore, Wei, Jesse, Czarnecki, Peter, Pedrosa, Ivan, Braun, William, Nurko, Saul, Remer, Erick, Chapman, Arlene, Martin, Diego, Rahbari-Oskoui, Frederic, Mittal, Pardeep, Torres, Vicente, Hogan, Marie C., El-Zoghby, Ziad, Harris, Peter, Glockner, James, King, Bernard, Jr., Perrone, Ronald, Halin, Neil, Miskulin, Dana, Schrier, Robert, Brosnahan, Godela, Gitomer, Berenice, Kelleher, Cass, Masoumi, Amirali, Patel, Nayana, Winklhofer, Franz, Grantham, Jared, Yu, Alan, Wang, Connie, Wetzel, Louis, Moore, Charity G., Bost, James E., Bae, Kyongtae, Abebe, Kaleab Z., Miller, J. Philip, Thompson, Paul A., Briggs, Josephine, Flessner, Michael, Meyers, Catherine M., Star, Robert, Shayman, James, Henrich, William, Greene, Tom, Leonard, Mary, McCullough, Peter, Moe, Sharon, Rocco, Michael, Wendler, David, Kim, Youngwoo, Bu, Seonah, Tao, Cheng, Bae, Kyongtae T.
Publikováno v:
In Kidney International Reports June 2024 9(6):1802-1809
ICD coding is the international standard for capturing and reporting health conditions and diagnosis for revenue cycle management in healthcare. Manually assigning ICD codes is prone to human error due to the large code vocabulary and the similaritie
Externí odkaz:
http://arxiv.org/abs/2103.07808