Li "Harry" Zhang  张力

About Me

I am a 5th- and final-year PhD student researcher focusing on Natural Language Processing and Artificial Intelligence, having the honor to be mentored by Prof. Chris Callison-Burch at the University of Pennsylvania. I got my BS from the University of Michigan in 2018, previously mentored by Prof. Rada Mihalcea and Prof. Dragomir Radev.

I'm actively looking for a faculty job starting fall 2024 or 2025, inside and outside the US.

bilibili    26 publications, 921 citations, 9 h-index



University of Pennsylvaniaupenn logo
Ph.D.; Aug 2019 to May 2024;
GPA: 3.92/4.00

Allen Institute for Artifical IntelligenceAI2
Research Intern; April 2023 to Dec 2023

IBM ResearchIBM Research
Research Intern; May 2021 to Aug 2021, April 2019 to June 2019

University of Michiganumich logo
B.S.E.; Aug 2015 to Dec 2018;
GPA: 3.82/4.00

Goldman SachsGoldman Sachs
Summer Analyst; May 2017 to Aug 2017

Shenzhen Middle SchoolSMS logo
High School Diploma; Sept 2012 to Jun 2015;
GPA: 4.23/4.30

Mentoring and Teaching

Mentored Students
Tianyi Zhang, University of Pennsylvania
Hainiu Xu, King's College London
Zhaoyi Hou, University of Pittsburg
Young-Min Cho, University of Pennsylvania
Liyang Zhou, Bloomberg
Manni Arora, Apple

I mentored each for more than 1 year. All graduated with a Master's degree from the University of Pennsylvania.

Teaching AssistantPenn

CIS 530: Computational Linguistics (Winter, Fall 2020)

Teaching AssistantUM-Penn
2016 - 2018

EECS 595: Natural Language Processing (Fall 2018) and EECS 280: Programming and Introductory Data Structures (Winter, Fall 2016)


I have reviewed more than 30 papers of NLP conferences workships, and served as the chair for some.

Reviewer of EMNLP 2023
Program Chair of MASC-SLL 2023
Reviewer of ACL 2023
Program Chair of DaSH Workshop @ EMNLP 2022
Reviewer of COLING 2022
Reviewer of ARR Nov 2021, Mar 2022
Reviewer of LREC 2022
Program Chair of MASC-SLL 2021
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


Structured Reasoning of Events and Procedures

Human language greatly emphasizes events and procedures (sequences of events), describing what happens in the world, and so reasoning about them is crucial to artificial intelligence. My work focuses on structured event reasoning, where I develop systems to automatically extract common, schematic information from texts describing events. Moreover, I inject this structured information to modern language models to advance state-of-the-art on many downstream tasks, such as question answering, dialog, script generation, symbolic planning, etc.

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

1. Reasoning about and planning with entities and events in procedures.

[23] OpenPI2.0: An Improved Dataset for Entity Tracking in Texts; Li Zhang, Hainiu Xu^Mentored student, Abhinav Kommula, Niket Tandon and Chris Callison-Burch; in preprint.Paper BibTeX Repo

[19] Causal Reasoning of Entities and Events in Procedural Texts; Li Zhang*Equal contribution, Hainiu Xu*Equal contribution^Mentored student, Yue Yang, Shuyan Zhou, Weiqiu You, Manni Arora and Chris Callison-Burch; in Findings of EACL 2023.Paper BibTeX Repo

[25] CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization; Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, Peter Clark; in preprint.Paper BibTeX Repo

[26] One Size Does Not Fit All: Customizing Open-Domain Procedures; Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon; in preprint.Paper BibTeX

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

2. Reasoning about the relations among events like goals and steps in procedures.

[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.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 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.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 Repo

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

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

[24] Choice-75: A Dataset on Decision Branching in Script Learning; Zhaoyi Joey Hou^Mentored student, Li Zhang, Chris Callison-Burch; in preprint.Paper BibTeX Repo

[13] QuakerBot: A Household Dialog System Powered by Large Language Models; Artemis Panagopoulou, Manni Arora^Mentored student, Li Zhang, Dimitri Cugini, Weiqiu You, Yue Yang, Liyang Zhou^Mentored student, Yuxuan Wang, Zhaoyi Hou^Mentored student, Alyssa Hwang, Lara Martin, Sherry Shi, Chris Callison-Burch and Mark Yatskar; in Alexa Prize Proceedings 2022.Paper BibTeX

[21] Human-in-the-Loop Schema Induction; Tianyi Zhang^Mentored student, Isaac Tham, Zhaoyi Hou^Mentored student, Jiaxuan Ren, Liyang Zhou^Mentored student, Hainiu Xu^Mentored student, Li Zhang, Lara J. Martin, Rotem Dror, Sha Li, Heng Ji, Martha Palmer, Susan Brown, Reece Suchocki, Chris Callison-Burch; in ACL 2023 Demos.Paper BibTeX Demo


I am a drummer, producer and video content creator. I run a video channel with over 40,000 subscribers on Bilibili and YouTube, primarily making cover songs from video game and anime soundtracks, in a variety of styles ranging from metal to jazz. I am proudly endorsed by Vater, Tama, Alesis, and Xvive (China) and have collaborated with manufacturers of major video games such as Genshin Impact and Azur Lane. I also engage in research of AI music generation, having published a paper on automatic drum composition in an AAAI 2023 workshop.

[18] Language Models are Drummers: Drum Composition with Natural Language Pre-Training; Li Zhang and Chris Callison-Burch; in AAAI 2023 Workshop on Creative AI Across Modalities.Paper Repo BibTeX

My two albums A Doll's Lament (reimagined NieR soundtracks) and Dazzling Tales (reimagined Genshin Impact soundtracks) are available for listening on all major streaming platforms.

A Doll's Lament   Dazzling Tales