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

selected publications

  1. arxiv
    R2D2: Remembering, Reflecting and Dynamic Decision Making for Web Agents
    Tenghao Huang ,  Kinjal Basu ,  Ibrahim Abdelaziz , and 3 more authors
    2025
  2. EMNLP
    Are Large Language Models Capable of Generating Human-Level Narratives?
    Yufei Tian* ,  Tenghao Huang* ,  Miri Liu , and 5 more authors
    2024
  3. NAACL
    Planning and Editing What You Retrieve for Enhanced Tool Learning
    Tenghao Huang ,  Jung Dongwon ,  and  Muhao Chen
    2024
  4. EMNLP
    Affective and Dynamic Beam Search for Story Generation
    Tenghao Huang ,  Ehsan Qasemi ,  Bangzheng Li , and 4 more authors
    2023
  5. 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