Tenghao Huang
Welcome to my personal webpage! My name is Tenghao Huang, a second-year PhD student 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.
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.
news
Mar 31, 2024 | Our paper “Planning and Editing What You Retrieve for Enhanced Tool Learning” has been accepted to NAACL-Findings 2024. |
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Jan 26, 2024 | I passed my qualification exam. Officially a PhD candidate! |
Nov 30, 2023 | I will be joining the IBM conversational AI team as a research intern for summer 2024. |
selected publications
- 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
- ACLRead Top News First: A Document Reordering Approach for Multi-Document News Summarization2022
- EMNLPUncovering Implicit Gender Bias in Narratives through Commonsense Inference2021