Publications

• Yijing Zhang, Dyah Adila, Changho Shin, Frederic Sala. Personalize Your LLM: Fake it then Align it. Accepted by NAACL 2025 Findings. [Paper]
• Yijing Zhang, Frederic Sala. Methods for Domain-specific Fine-tuning for Generative Models. Senior honor thesis for Honors in the Major, L&S Honors Program at University of Wisconsin - Madison. [Paper]
• Lin Zhang, Shentong Mo, Yijing Zhang, Pedro Morgado. Audio-Guided Visual Animation. European Conference on Computer Vision(ECCV) 2024 Oral Presentation. [Paper]
• Dyah Adila, Changho Shin, Yijing Zhang, Frederic Sala. Is Free Self-Alignment Possible? MINT@NeurIPS2024 Workshop on Foundation Model Interventions. In submission to Forty-Second International Conference on Machine Learning(ICML) 2025. [Paper]
• Dyah Adila, Changho Shin, Yijing Zhang, Frederic Sala. Can Language Models Safeguard Themselves, Instantly and For Free? Accepted by International Conference on Machine Learning(ICML) 2024 Workshop on NextGenAISafety. [Paper]
• Lin Zhang, Zefan Cai, Yufan Zhou, Shentong Mo, Jinhong Lin, Cheng-En Wu, Yibing Wei, Yijing Zhang, Ruiyi Zhang, Wen Xiao, Tong Sun, Junjie Hu, Pedro Morgado. Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm. [Paper]