About Me
I am a rising senior at Carnegie Mellon University, passionate about Natural Language Processing (NLP) and Artificial Intelligence (AI). As I prepare for graduate studies in these fields, I’ve been fortunate to work with several distinguished advisors on cutting-edge projects.
Under the guidance of Prof. Karthik Narasimhan in the Princeton NLP Group, I led research on developing PersonaGym, the first evaluation framework for persona agents in Large Language Models (LLMs). This project has contributed significantly to our understanding of AI personalities and their interactions.
I also collaborated with Prof. Cornelia Caragea on ImplicitAVE, the first open-sourced dataset for implicit attribution value extraction. Our work was accepted to ACL Findings 2024, marking a significant advancement in the field of natural language understanding.
Currently, I’m working with Prof. Daphne Ippolito on LLM output control, exploring ways to enhance the reliability and consistency of AI-generated content.
These diverse experiences have solidified my commitment to pushing the boundaries of NLP and AI, and I’m excited to continue this journey in my graduate studies and beyond.
News
- Sept 18, 2024: Excited to release Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges!
- July 28, 2024: Excited to release PersonaGym!
- July 8, 2024: Our paper titled Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges was accepted into ACL Student Research Workshop 2024.
- May 15, 2024: Our paper titled ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction was accepted into ACL Findings 2024