3 citations · 9 across the 12 of their papers we have counts for
4 papers · 1 filter
Ranking with Slot Constraints
Wentao Guo, Andrew Wang, Bradon Thymes +1
We introduce the problem of ranking with slot constraints, which can be used to model a wide range of application problems -- from college admission with limited slots for differen…
Policy-Gradient Training of Language Models for Ranking
Ge Gao, Jonathan D. Chang, Claire Cardie +2
Text retrieval plays a crucial role in incorporating factual knowledge for decision making into language processing pipelines, ranging from chat-based web search to question answer…
GPT as a Baseline for Recommendation Explanation Texts
Joyce Zhou, Thorsten Joachims
In this work, we establish a baseline potential for how modern model-generated text explanations of movie recommendations may help users, and explore what different components of t…
Fairness in Ranking under Disparate Uncertainty
Richa Rastogi, Thorsten Joachims
Ranking is a ubiquitous method for focusing the attention of human evaluators on a manageable subset of options. Its use as part of human decision-making processes ranges from surf…