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 adviced by Prof. Jonathan May , Prof. Muhao Chen and Prof. Xuezhe Ma. I have interned at Amazon Alexa AI, IBM Research and Microsoft’s Office of Applied 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 help human solve real-world problems. Specifically, I am curious about how LLM agents can enhance human productivity in task-oriented scenarios, such as writing, coding, and planning.
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
- arxivR2D2: Remembering, Reflecting and Dynamic Decision Making for Web Agents2025
- 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