Ting-Yun (Charlotte) Chang
Hi, I'm Ting-Yun Chang 張婷雲. I am a 5th-year PhD student at USC CS, co-advised by Jesse Thomason and Robin Jia. I am interested in improving large language models post-training based on scientific insights, e.g., understanding the internal mechanisms of in-context learning to make LLMs less sensitive to prompt designs. Recently, I have been working on LLM quantization, studying the root causes of performance degradation to minimize errors after low-bit quantization.
Previously, I did my bachelor's and master's degrees in Taiwan, both in Computer Science. I was advised by Yun-Nung (Vivian) Chen at National Taiwan University and Chi-Jen Lu at Academia Sinica.
Hi, I'm Ting-Yun Chang 張婷雲. I am a 5th-year PhD student at USC CS, co-advised by Jesse Thomason and Robin Jia. I am interested in improving large language models post-training based on scientific insights, e.g., understanding the internal mechanisms of in-context learning to make LLMs less sensitive to prompt designs. Recently, I have been working on LLM quantization, studying the root causes of performance degradation to minimize errors after low-bit quantization.
Previously, I did my bachelor's and master's degrees in Taiwan, both in Computer Science. I was advised by Yun-Nung (Vivian) Chen at National Taiwan University and Chi-Jen Lu at Academia Sinica.