Li "Harry" Zhang  张力

About Me

I am a 4th-year PhD student researcher focusing on Natural Language Processing and Artificial Intelligence, mentored by Prof. Chris Callison-Burch at the University of Pennsylvania. I was an undergraduate at the University of Michigan in 2018, previously mentored by Prof. Rada Mihalcea and Prof. Dragomir Radev.


I'm also a drummer, musician, producer, and video creator. My first album A Doll's Lament is available for listening on Spotify, Apple Music, YouTube and all major streaming platforms.
A Doll's Lament


Work Experience

Research InternIBM Research
2019, 2021

Teaching AssistantUM-Penn
2016 - 2020

Summer Analyst in TechnologyGoldman Sachs


University of Pennsylvaniaupenn logo
Ph.D.; GPA: 3.92/4.00; In progress

University of Michiganumich logo
B.S.E.; Class of 2018; GPA: 3.82/4.00

Shenzhen Middle SchoolSMS logo
High School Diploma; Class of 2015; GPA: 4.23/4.30


Reviewer of DaSH Workshop @ EMNLP 2022
Reviewer of COLING 2022
Reviewer of ARR since October 2021
Reviewer of LREC 2022
Session chair of AACL-IJCNLP 2020
Co-organizer of CLUNCH in 2020, Penn's NLP seminar series
Reviewer of COLING 2020
Reviewer of Computer Speech and Language 2018


Reasoning about Procedures with Natural Language Processing

Procedures, such as recipes, instructions, or protocals, are all around us. A procedure is a sequence of events or actions, consisting of a goal and some steps. A deep understanding of procedures would greatly advance machines' reasoning ablity, and enable human-centered applications that would guide users through executing a variety of procedures. Such is my main line of work during my PhD studies.

[14] Reasoning about Procedures with Natural Language Processing: A Tutorial; Li Zhang; in arXiv.Paper BibTeX

The first half of my work focuses on relations among goals and steps, to represent procedures as a graph of events.

[6] Reasoning about Goals, Steps, and Temporal Ordering with WikiHow; Li Zhang*Equal contribution, Qing Lyu*Equal contribution and Chris Callison-Burch; in EMNLP 2020; presented at Workshop on Enormous Language Models at ICLR 2021.Paper BibTeX Repo

[15] Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models; ... Li Zhang*Equal contribution, Qing Lyu*Equal contribution and Chris Callison-Burch; in arXiv; in submission to TMLR.Paper

[9] Visual Goal-Step Inference using wikiHow; Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar and Chris Callison-Burch; In EMNLP 2021; presented at the 2nd Workshop on Advances in Language and Vision Research at NAACL 2021.Paper BibTeX

[10] Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data; Shuyan Zhou*Equal contribution, Li Zhang*Equal contribution, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch and Graham Neubig; in ACL 2022.Paper BibTeX Demo

These structured representations are shown to work in downstream applications.

[7] Intent Detection with WikiHow; Li Zhang, Qing Lyu, Chris Callison-Burch, ...; in AACL-IJCNLP 2020.Paper BibTeX Repo

[8] Goal-Oriented Script Construction; Qing Lyu*Equal contribution, Li Zhang*Equal contribution and Chris Callison-Burch; in INLG 2021.Paper BibTeX Repo

[13] QuakerBot: A Household Dialog System Powered by Large Language Models; Artemis Panagopoulou, Manni Arora, Li Zhang, (9 more), Chris Callison-Burch, Mark Yatskar; in Alexa Prize TaskBot Challenge Proceedings.Paper BibTeX

The second half of my work focuses on representing entities in procedures.

[17] Unsupervised Entity Linking with Guided Summarization and Multiple Choice Selection; Young Min Cho, Li Zhang and Chris Callison-Burch; in EMNLP 2022.Paper BibTeX Repo


I play, record and produce music regularly. I enjoy genres ranging from progressive metal to pop to jazz. I'm passionate about rearranging and recreating soundtracks from video games and animes (ACG). I take pride in my 25k-subscriber channel on Bilibili. My music can be found on all major streaming platforms and YouTube.
To view in HD, hover on a video and click on 去bilibili观看.