Deception through Half-Truths. - Andrew Estornell; Sanmay Das; Yevgeniy Vorobeychik (AAAI, 2020)

Election Control by Manipulating Issue Significance. - Andrew Estornell; Sanmay Das; Edith Elkind; Yevgeniy Vorobeychik (UAI, 2020)

Incentivizing Truthfulness Through Audits in Strategic Classification. - Andrew Estornell; Sanmay Das; Yevgeniy Vorobeychik (AAAI, 2021)

Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents. - Andrew Estornell; Sanmay Das; Yang Liu 018; Yevgeniy Vorobeychik (CoRR, 2021)

Manipulating Elections by Changing Voter Perceptions. - Junlin Wu 001; Andrew Estornell; Lecheng Kong; Yevgeniy Vorobeychik (IJCAI, 2022)

Popularizing Fairness: Group Fairness and Individual Welfare. - Andrew Estornell; Sanmay Das; Brendan Juba; Yevgeniy Vorobeychik (AAAI, 2023)

Group-Fair Classification with Strategic Agents. - Andrew Estornell; Sanmay Das; Yang Liu 018; Yevgeniy Vorobeychik (FAccT, 2023)

Incentivizing Recourse through Auditing in Strategic Classification. - Andrew Estornell; Yatong Chen; Sanmay Das; Yang Liu 018; Yevgeniy Vorobeychik (IJCAI, 2023)

The Impact of Features Used by Algorithms on Perceptions of Fairness. - Andrew Estornell; Tina Zhang; Sanmay Das; Chien-Ju Ho; Brendan Juba; Yevgeniy Vorobeychik (IJCAI, 2024)

Multi-LLM Debate: Framework, Principals, and Interventions. - Andrew Estornell; Yang Liu 018 (NeurIPS, 2024)

User-Creator Feature Polarization in Recommender Systems with Dual Influence. - Tao Lin 013; Kun Jin; Andrew Estornell; Xiaoying Zhang; Yiling Chen 001; Yang Liu 018 (NeurIPS, 2024)

Measuring and Reducing LLM Hallucination without Gold-Standard Answers via Expertise-Weighting. - Jiaheng Wei; Yuanshun Yao; Jean-Francois Ton; Hongyi Guo; Andrew Estornell; Yang Liu 018 (CoRR, 2024)

Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach. - Andrew Estornell; Stylianos Loukas Vasileiou; William Yeoh 001; Daniel Borrajo; Rui Silva (CoRR, 2024)

Dataset Representativeness and Downstream Task Fairness. - Victor A. Borza; Andrew Estornell; Chien-Ju Ho; Bradley A. Malin; Yevgeniy Vorobeychik (CoRR, 2024)

User-Creator Feature Dynamics in Recommender Systems with Dual Influence. - Tao Lin 013; Kun Jin; Andrew Estornell; Xiaoying Zhang; Yiling Chen 001; Yang Liu 018 (CoRR, 2024)

Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets. - Victor A. Borza; Andrew Estornell; Ellen Wright Clayton; Chien-Ju Ho; Russell Rothman; Yevgeniy Vorobeychik; Bradley A. Malin (CoRR, 2024)

ACC-Debate: An Actor-Critic Approach to Multi-Agent Debate. - Andrew Estornell; Jean-Francois Ton; Yuanshun Yao; Yang Liu 018 (CoRR, 2024)

To Give or Not to Give? The Impacts of Strategically Withheld Recourse. - Yatong Chen; Andrew Estornell; Yevgeniy Vorobeychik; Yang Liu 018 (AISTATS, 2025)

ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration. - Andrew Estornell; Jean-Francois Ton; Yuanshun Yao; Yang Liu 018 (ICLR, 2025)

Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring. - Mingjie Xu; Andrew Estornell; Hongzheng Yang; Yuzhi Zhao; Zhaowei Zhu; Qi Xuan; Jiaheng Wei (CoRR, 2025)

How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs. - Andrew Estornell; Jean-Francois Ton; Muhammad Faaiz Taufiq; Hang Li 001 (CoRR, 2025)