Tenghao Huang

University of Southern California.

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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:)
Nov 20, 2024 Our tutorial on Creative Planning in Large Language Models got accepted at NAACL 2025!

selected publications

  1. EMNLP
    Are Large Language Models Capable of Generating Human-Level Narratives?
    Yufei Tian* ,  Tenghao Huang* ,  Miri Liu , and 5 more authors
    2024
  2. NAACL
    Planning and Editing What You Retrieve for Enhanced Tool Learning
    Tenghao Huang ,  Jung Dongwon ,  and  Muhao Chen
    2024
  3. EMNLP
    Affective and Dynamic Beam Search for Story Generation
    Tenghao Huang ,  Ehsan Qasemi ,  Bangzheng Li , and 4 more authors
    2023
  4. NeurIPS
    Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning
    Haokun Liu ,  Derek Tam ,  Mohammed Muqeeth , and 4 more authors
    Advances in Neural Information Processing Systems, 2022