Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Schoenebeck, Grant"'
We introduce the GEM (Generative Estimator for Mutual Information), an evaluation metric for assessing language generation by Large Language Models (LLMs), particularly in generating informative judgments, without the need for a gold standard referen
Externí odkaz:
http://arxiv.org/abs/2411.07127
Peer prediction mechanisms motivate high-quality feedback with provable guarantees. However, current methods only apply to rather simple reports, like multiple-choice or scalar numbers. We aim to broaden these techniques to the larger domain of text-
Externí odkaz:
http://arxiv.org/abs/2405.15077
Amidst growing uncertainty and frequent restructurings, the impacts of employee exits are becoming one of the central concerns for organizations. Using rich communication data from a large holding company, we examine the effects of employee departure
Externí odkaz:
http://arxiv.org/abs/2402.15683
Recommendation algorithms play a pivotal role in shaping our media choices, which makes it crucial to comprehend their long-term impact on user behavior. These algorithms are often linked to two critical outcomes: homogenization, wherein users consum
Externí odkaz:
http://arxiv.org/abs/2402.15013
Because high-quality data is like oxygen for AI systems, effectively eliciting information from crowdsourcing workers has become a first-order problem for developing high-performance machine learning algorithms. Two prevalent paradigms, spot-checking
Externí odkaz:
http://arxiv.org/abs/2402.13567
In the setting of conference peer review, the conference aims to accept high-quality papers and reject low-quality papers based on noisy review scores. A recent work proposes the isotonic mechanism, which can elicit the ranking of paper qualities fro
Externí odkaz:
http://arxiv.org/abs/2311.14619
We study the voting game where agents' preferences are endogenously decided by the information they receive, and they can collaborate in a group. We show that strategic voting behaviors have a positive impact on leading to the ``correct'' decision, o
Externí odkaz:
http://arxiv.org/abs/2305.11021
The conference peer review process involves three constituencies with different objectives: authors want their papers accepted at prestigious venues (and quickly), conferences want to present a program with many high-quality and few low-quality paper
Externí odkaz:
http://arxiv.org/abs/2303.09020
Publikováno v:
In AAMAS (pp. 1563-1565) 2022
In the literature of data privacy, differential privacy is the most popular model. An algorithm is differentially private if its outputs with and without any individual's data are indistinguishable. In this paper, we focus on data generated from a Ma
Externí odkaz:
http://arxiv.org/abs/2206.11402
Autor:
Kong, Yuqing, Schoenebeck, Grant
We study a setting where Bayesian agents with a common prior have private information related to an event's outcome and sequentially make public announcements relating to their information. Our main result shows that when agents' private information
Externí odkaz:
http://arxiv.org/abs/2206.02993