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Michael Bendersky

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Unlocking the `Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience

Feb 20, 2024
Tao Chen, Siqi Zuo, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky

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PRewrite: Prompt Rewriting with Reinforcement Learning

Jan 16, 2024
Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky

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Bridging the Preference Gap between Retrievers and LLMs

Jan 13, 2024
Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky

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Creator Context for Tweet Recommendation

Nov 29, 2023
Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin

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Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning

Nov 16, 2023
Kazuma Hashimoto, Karthik Raman, Michael Bendersky

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Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers

Nov 15, 2023
Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky

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On What Basis? Predicting Text Preference Via Structured Comparative Reasoning

Nov 14, 2023
Jing Nathan Yan, Tianqi Liu, Justin T Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Yao Zhao, Charu Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky

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It's All Relative! -- A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction

Nov 14, 2023
Aditi Chaudhary, Karthik Raman, Michael Bendersky

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Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning

Nov 13, 2023
Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky

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Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling

Oct 18, 2023
Yaqing Wang, Jialin Wu, Tanmaya Dabral, Jiageng Zhang, Geoff Brown, Chun-Ta Lu, Frederick Liu, Yi Liang, Bo Pang, Michael Bendersky, Radu Soricut

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