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Unbiased Comparative Evaluation of Ranking Functions., , , and . ICTIR, page 109-118. ACM, (2016)Unbiased Learning-to-Rank with Biased Feedback., , and . WSDM, page 781-789. ACM, (2017)SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization., , , and . Trans. Assoc. Comput. Linguistics, (2022)Unbiased Ranking Evaluation on a Budget., , and . WWW (Companion Volume), page 935-937. ACM, (2015)HINT: Integration Testing for AI-based features with Humans in the Loop., , , and . IUI, page 549-565. ACM, (2022)Debiasing Item-to-Item Recommendations With Small Annotated Datasets., and . RecSys, page 73-81. ACM, (2020)Towards a Better Understanding of Predict and Count Models., , and . CoRR, (2015)Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory., , and . WSDM, page 546-554. ACM, (2019)Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration., , , and . WSDM, page 513-521. ACM, (2018)Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization., and . EMNLP (Findings), page 670-686. Association for Computational Linguistics, (2024)