33 citations · 103 across the 20 of their papers we have counts for
9 papers · 1 filter
Information Elicitation Meets Clustering
Yuqing Kong
In the setting where we want to aggregate people's subjective evaluations, plurality vote may be meaningless when a large amount of low-effort people always report "good" regardles…
Eliciting Thinking Hierarchy without a Prior
Yuqing Kong, Yunqi Li, Yubo Zhang +2
When we use the wisdom of the crowds, we usually rank the answers according to their popularity, especially when we cannot verify the answers. However, this can be very dangerous w…
Truthful Information Elicitation from Hybrid Crowds
Qishen Han, Sikai Ruan, Yuqing Kong +3
Suppose a decision maker wants to predict weather tomorrow by eliciting and aggregating information from crowd. How can the decision maker incentivize the crowds to report their in…
BONUS! Maximizing Surprise
Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu +2
Multi-round competitions often double or triple the points awarded in the final round, calling it a bonus, to maximize spectators' excitement. In a two-player competition with …
SURPRISE! and When to Schedule It
Zhihuan Huang, Shengwei Xu, You Shan +4
Information flow measures, over the duration of a game, the audience's belief of who will win, and thus can reflect the amount of surprise in a game. To quantify the relationship b…
Principled Evaluation with Human Labels: One Rater at a Time and Rater Equivalence
Paul Resnick, Yuqing Kong, Grant Schoenebeck +1
In many classification tasks, there is no definitive ground truth, only human judgments that may disagree. We address two challenges that arise in such settings: (1) how to use hum…
Modularity and Mutual Information in Networks: Two Sides of the Same Coin
Qian Wang, Yongkang Guo, Zhihuan Huang +1
Modularity, first proposed by [Newman and Girvan, 2004], is one of the most popular ways to quantify the significance of community structure in complex networks. It can serve as bo…
More Dominantly Truthful Multi-task Peer Prediction with a Finite Number of Tasks
Yuqing Kong
In the setting where we ask participants multiple similar possibly subjective multi-choice questions (e.g. Do you like Bulbasaur? Y/N; do you like Squirtle? Y/N), peer prediction a…
Equal Affection or Random Selection: the Quality of Subjective Feedback from a Group Perspective
Jiale Chen, Yuqing Kong, Yuxuan Lu
In the setting where a group of agents is asked a single subjective multi-choice question (e.g. which one do you prefer? cat or dog?), we are interested in evaluating the quality o…