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Marc Najork
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Exploring the Viability of Synthetic Query Generation for Relevance Prediction


May 19, 2023
Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork

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Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation


May 08, 2023
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang

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* 16 pages 
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"Why is this misleading?": Detecting News Headline Hallucinations with Explanations


Feb 12, 2023
Jiaming Shen, Jialu Liu, Dan Finnie, Negar Rahmati, Michael Bendersky, Marc Najork

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* WWW 2023, 12 pages 
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Towards Disentangling Relevance and Bias in Unbiased Learning to Rank


Dec 28, 2022
Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork

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DSI++: Updating Transformer Memory with New Documents


Dec 19, 2022
Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler

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* 17 pages 
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Regression Compatible Listwise Objectives for Calibrated Ranking


Nov 02, 2022
Aijun Bai, Rolf Jagerman, Zhen Qin, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork

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Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models


Jan 25, 2022
Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork

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* Accepted at ECIR 2022 (full paper) 
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Data-Efficient Information Extraction from Form-Like Documents


Jan 07, 2022
Beliz Gunel, Navneet Potti, Sandeep Tata, James B. Wendt, Marc Najork, Jing Xie

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* Published at the 2nd Document Intelligence Workshop @ KDD 2021 (https://document-intelligence.github.io/DI-2021/) 
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Rank4Class: A Ranking Formulation for Multiclass Classification


Dec 17, 2021
Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork

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Born Again Neural Rankers


Sep 30, 2021
Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork

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