12 citations · 20 across the 9 of their papers we have counts for
15 papers
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…
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…
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…
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…
A Topological Method for Comparing Document Semantics
Yuqi Kong, Fanchao Meng, Benjamin Carterette
Comparing document semantics is one of the toughest tasks in both Natural Language Processing and Information Retrieval. To date, on one hand, the tools for this task are still rar…