Preprint: Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models; AAAI 2025 accepted paper: MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models; AAAI 2025 accepted paper: Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning; Will present the latest achievements at YSSNLP2025 in June 2025.
Research Experience
2024.12 - 2025.03, Intern at Meituan, Inc, China.
Education
2023.09 - 2026.01 (expected), Master, School of Artificial Intelligence, Beihang University, Advisor: Prof. Hainan Zhang; 2019.09 - 2023.06, Undergraduate, School of Mathematical Sciences, Beihang University.
Background
Research interests: intersection of natural language generation and privacy-preserving computation, specifically including Natural Language Processing (NLP), Multimodal Learning, Information Retrieval, and LLM safety. Actively seeking Ph.D. opportunities starting in 2026.
Miscellany
Contact: eugeniawyj0209@gmail.com, eugenia@buaa.edu.cn; Personal homepage: https://skylerhallinan.com/; Honors and Awards: First prize of National College Students Mathematical Modeling Competition (Beijing Division), 2021; Third prize in the National College Mathematics Competition, 2021; First prize of Academic Excellence Scholarship of Beihang University, 2022; Second prize of “Feng Ru Cup” Science and Technology Innovation Competition of Beihang University, 2022.