I am a Master's student at the University of Illinois at Urbana-Champaign (UIUC) advised by Prof. Tong Zhang. I am interested in improving and understanding how we can not only help models learn more efficiently but also align them with our goals and values. Methods I am currently researching include continual learning, curriculum learning, and memory structures.
Previously, I worked as a quantitative trader at Optiver US LLC and Old Mission Capital, and as a software engineer at VectorShift, Amazon, and Secureframe.
I am also a classically trained pianist (enjoy).
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RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning
Jerry Huang, Siddarth Madala, Risham Sidhu, Cheng Niu, Hao Peng, Julia Hockenmaier, Tong Zhang
Under review. 2025
We introduce RAG-RL, an answer generation model trained to identify and reason over larger sets of retrieved information using reinforcement learning and curriculum learning.
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning
Jerry Huang, Siddarth Madala, Risham Sidhu, Cheng Niu, Hao Peng, Julia Hockenmaier, Tong Zhang
Under review. 2025
We introduce RAG-RL, an answer generation model trained to identify and reason over larger sets of retrieved information using reinforcement learning and curriculum learning.
Fingerprint Matching
For my undergraduate thesis, I investigated the feasibility of using software to generate fingerprint lineups (similar eye-witness lineups) in order to quantify the amount of cognitive bias present in the field of forensic science.
Fingerprint Matching
For my undergraduate thesis, I investigated the feasibility of using software to generate fingerprint lineups (similar eye-witness lineups) in order to quantify the amount of cognitive bias present in the field of forensic science.
