Yu-Neng's Homepage

About Me

Howdy! I’m Yu-Neng Chuang, a final-year Ph.D. candidate from the Department of Computer Science at Rice University, co-advised by Dr. Xia “Ben” Hu and Dr. Vladimir Braverman. Before that, I received my bachelor’s degree in Mathematics and my master’s degree in Computer Science, both from National ChengChi University.

I aim to build reliable and efficient LLM systems through LLM post-training techniques such as efficient long-context reasoning, uncertainty-guided routing, and multimodal agent systems. Currently, I am working on post-training and reinforcement learning for LLM reasoning and multimodal LLM agents.

I was a research intern at Google Deepmind , was a research intern at Apple , and was a research intern at Samsung Reserach America. I am currently working on industrial collaboration project with Meta AI .

🔥 I am actively seeking full-time Research Scientist/Engineer opportunities starting in May 2026!

News

• Aug. 2025: Three papers have accepted by EMNLP 2025!

• May 2025: I started my internship as a research intern at Google DeepMind!

• May 2025: Checkout our latest survey on Efficient LLM reasoning! Feel free to UPVOTE

• May 2025: One paper has accepted by KDD 2025. See you in Toronto!

• May 2025: Two papers have accepted by ACL 2025. See you in Vienna!

• May 2025: One paper has accepted by ICML 2025.

• Jan. 2025: One paper has accepted by NAACL 2025 (Finding). See you in Albuquerque!

• Nov. 2024: I am honor to received the Ken Kennedy Institute 2024/25 Andrew Ladd Memorial Fellowship!

• Sep. 2024: Two papers have been accepted by EMNLP 2024

• Sep. 2024: One paper has been selected as the oral paper (10% of oral accept rate) at Baylearn Machine Learning Symposium 2024, held by Apple, Google, UC Berkeley, etc.

• Aug. 2024: Checkout our recent benchmarking works on Time series foundation models, KV Cache compression, and LLM evaluation

• Jul. 2024: One paper accepted by TKDD 2024

• May 2024: I started my internship at Apple!

• May 2024: One paper has been accepted by ICML 2024

• Mar. 2024: Our paper, The Science of Detecting LLM-Generated Text, has been accepted for a cover publication in the April 2024 issue of Communications of the ACM (CACM)!

• Mar. 2024: Two papers have been accepted by NAACL 2024

• Jan. 2024: One paper has been accepted by the Journal of Biomedical Informatics

• Oct. 2023: Our paper has been selected as CIKM 2023 Best Demo Paper Honorable Mention!

• May 2023: I started my internship at Samsung Research America!

• Jan. 2023: One paper has been accepted by ICLR 2023

• Jul. 2022: One paper has been accepted by ICML 2022