Hi, I am Jinyan, currently a second year CS PhD student at Cornell university advised by Claire Cardie and Wen Sun.

Research interest: I am currently interested

• LLM reasoning: how to improve LLM to think and solve complext problem such as math and coding.
• LLM personalization: how to personalize LLM without using resource intensive approaches such as fine-tuning.
• Retrieval augmented generation: how to design better and controlable RAG system to fit for different user cases and balance factual correctness and contextual correctness. (Check out my latest work)

In the past, I worked on safe and responsible use of AI/LLM, including

• Design safe exploration algorithm that use human expert oversight to ensure a safe and responsible decision making. (see MixUCB )

• Design algorithms that are tailored to diverse user preferences (see MSGD)

• Safeguard AI from misuse such as spreading misinformation, for example, I design algorithm and build benchmarks such as M4 and M4GT-Bench, and methods such as DetectLLM for detecting machine generated texts, and fake news detection, as well as corpus attack on retrieval system.

• Design machine learning algorithms that are differentially private (See works such as Fast DPSCO, Non-interactive LDP; DPSCO in non-Euclidean space)

A complete list can can be find here

📫 Contact

Email: js3673[@]cornell.edu