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Posts by Collection
portfolio
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publications
G-CoS: An Interpretable Gain-Cost Framework for User Satisfaction Estimation in Generative Information Retrieval
Published in Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (Short Papers), 2026
Accepted to the SIGIR 2026 short paper track. This work proposes G-CoS, an interpretable gain-cost framework for estimating user satisfaction in generative information retrieval.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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