Yiyang (Wendy) Wu | 吴抑扬

I am first year MIIS master student at Carnegie Mellon University. In my undergrad at University of Southern California, I worked in LIME Lab with Prof. Jieyu Zhao. I majored in Computer Science (CS) and double minored in Psychology and Economics (my previous majors before Computer Science).
My research focuses on advancing reinforcement learning frameworks to enhance the reasoning and alignment of large language models, while critically examining their gaps and inherent limitations compared to human cognition.

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Research
Efficient reinforcement finetuning via adaptive curriculum learning
Taiwei Shi, Yiyang Wu, Linxin Song, Tianyi Zhou, Jieyu Zhao
project page / arXiv / poster / code / dataset

This paper presents AdaRFT, a lightweight extension to reinforcement finetuning that adaptively adjusts task difficulty based on reward signals, reducing training steps by up to 2× while boosting reasoning accuracy on competition-level math benchmarks.

Award

Academic Achievement Award : University of Southern California, 2023

Service

Course Producer : CSCI270: Introduction to Algorithms and the Theory of Computing (Sp24, Fa24, Sp25), CS170: Discrete Methods in Computer Science (Sp23) at USC


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