Andrew Estornell

According to our database, Andrew Estornell authored at least 21 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs.

Andrew Estornell, Jean-Francois Ton, Muhammad Faaiz Taufiq, Hang Li

CoRR, July, 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, June, 2025

ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration.

Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

To Give or Not to Give? The Impacts of Strategically Withheld Recourse.

Yatong Chen, Andrew Estornell, Yevgeniy Vorobeychik, Yang Liu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

ACC-Debate: An Actor-Critic Approach to Multi-Agent Debate.

Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu

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

User-Creator Feature Dynamics in Recommender Systems with Dual Influence.

Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu

CoRR, 2024

Dataset Representativeness and Downstream Task Fairness.

Victor A. Borza, Andrew Estornell, Chien-Ju Ho, Bradley A. Malin, Yevgeniy Vorobeychik

CoRR, 2024

Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach.

Andrew Estornell, Stylianos Loukas Vasileiou, William Yeoh, Daniel Borrajo, Rui Silva

CoRR, 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

CoRR, 2024

User-Creator Feature Polarization in Recommender Systems with Dual Influence.

Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-LLM Debate: Framework, Principals, and Interventions.

Andrew Estornell, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

The Impact of Features Used by Algorithms on Perceptions of Fairness.

Andrew Estornell, Tina Zhang, Sanmay Das, Chien-Ju Ho, Brendan Juba, Yevgeniy Vorobeychik

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Incentivizing Recourse through Auditing in Strategic Classification.

Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Group-Fair Classification with Strategic Agents.

Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Popularizing Fairness: Group Fairness and Individual Welfare.

Andrew Estornell, Sanmay Das, Brendan Juba, Yevgeniy Vorobeychik

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Manipulating Elections by Changing Voter Perceptions.

Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents.

Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik

CoRR, 2021

Incentivizing Truthfulness Through Audits in Strategic Classification.

Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Election Control by Manipulating Issue Significance.

Andrew Estornell, Sanmay Das, Edith Elkind, Yevgeniy Vorobeychik

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Deception through Half-Truths.

Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020