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20182025
most citedFIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data

7 citations · 23 across the 10 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

stat.AP2022★ 1 cited

Association between author metadata and acceptance: A feature-rich, matched observational study of a corpus of ICLR submissions between 2017-2022

Chang Chen, Jiayao Zhang, Dan Roth +2

Many recent studies have probed status bias in the peer-review process of academic journals and conferences. In this article, we investigated the association between author metadat…

cs.CY2022★ 1 cited

Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach

Jiayao Zhang, Hongming Zhang, Zhun Deng +1

Double-blind peer review mechanism has become the skeleton of academic research across multiple disciplines including computer science, yet several studies have questioned the qual…

cs.LG2022★ 7 cited

FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data

Zhun Deng, Jiayao Zhang, Linjun Zhang +4

Algorithmic fairness plays an important role in machine learning and imposing fairness constraints during learning is a common approach. However, many datasets are imbalanced in ce…

cs.CL2022★ 1 cited

Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts

Bo Zhang, Jiayao Zhang

We examine the role of textual data as study units when conducting causal inference by drawing parallels between human subjects and organized texts. %in human population research.…

cs.CL2022★ 6 cited

ROCK: Causal Inference Principles for Reasoning about Commonsense Causality

Jiayao Zhang, Hongming Zhang, Weijie J. Su +1

Commonsense causality reasoning (CCR) aims at identifying plausible causes and effects in natural language descriptions that are deemed reasonable by an average person. Although be…