Tenghao Huang

Welcome to my personal webpage! My name is Tenghao Huang, a Third-year PhD candidate at USC Viterbi School of Engineering. I am co-adviced by Prof. Muhao Chen and Prof. Xuezhe Ma. I also work closely with Prof. Jonathan May. I was a summer intern at Amazon Alexa AI and IBM Research.
Before I join USC, I did my bachelor at UNC-CH. I was fortunate to be supervised by Prof. Snigdha Chaturvedi and Prof. Colin Raffel.
I am genuinely interested in how LLM agents can human solve real-world problems. Key areas of this research could include the ethical implications of AI assistance, the accuracy and reliability of the information provided by LLMs, and the development of more sophisticated models that can understand context and nuance better.
I am also interested in studying AI creativity, especially how AI can assist human in composing longer and more interesting narratives. Our paper Are Large Language Models Capable of Generating Human-Level Narratives? received the Outstanding Paper Award 🏆 at EMNLP 2024!
news
Dec 20, 2024 | I am excited to start as a part-time research intern at Microsoft in Spring 2025:) |
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Nov 20, 2024 | Our tutorial on Creative Planning in Large Language Models got accepted at NAACL 2025! |
selected publications
- EMNLPAre Large Language Models Capable of Generating Human-Level Narratives?2024
- NAACLPlanning and Editing What You Retrieve for Enhanced Tool Learning2024
- EMNLPAffective and Dynamic Beam Search for Story Generation2023
- NeurIPSFew-shot parameter-efficient fine-tuning is better and cheaper than in-context learningAdvances in Neural Information Processing Systems, 2022