Xinyue Liu
Hi! I am a master student at Carnegie Mellon University (LTI, Master of Computational Data Science), advised by Daphne Ippolito.
My research interests lie in three topics:
- Enhance the ability of LLMs to follow diverse writing styles
- Understand how parameter-efficient fine-tuning (e.g. LoRA) steers the direction of LLM training
- Improve LLMs through advanced tool-using capabilities
Prior to CMU, I graduated as the Outstanding Graduate of Beijing from Beijing University of Posts and Telecommunications with a B.E. in Computer Science.
news
Jul 15, 2024 | Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning has been accepted to the 17th International Natural Language Generation Conference (INLG). Check out our demo here. |
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Jun 03, 2024 | Internship at Walmart Global Tech. Developed Product2Vec for better assortment planning. |