Li "Harry" Zhang  张力

About Me

I am a 4th-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 was an undergraduate at the University of Michigan in 2018, previously mentored by Prof. Rada Mihalcea and Prof. Dragomir Radev.

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



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)

Work Experience

Research InternAI2

Research InternIBM Research
2019, 2021

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


Program Chair of MASC-SLL 2023
Reviewer of ACL 2023
Program Chair of DaSH Workshop @ EMNLP 2022
Reviewer of COLING 2022
Reviewer of ARR since October 2021
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 entities and events in procedures.

[23] OpenPI2.0: An Improved Dataset for Entity Tracking in Texts; Li Zhang, Hainiu Xu, 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, Yue Yang, Shuyan Zhou, Weiqiu You, Manni Arora and Chris Callison-Burch; in Findings of EACL 2023.Paper BibTeX Repo

[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

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

[13] QuakerBot: A Household Dialog System Powered by Large Language Models; Artemis Panagopoulou, Manni Arora, Li Zhang, Dimitri Cugini, Weiqiu You, Yue Yang, Liyang Zhou, Yuxuan Wang, Zhaoyi Hou, 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, Isaac Tham, Zhaoyi Hou, Jiaxuan Ren, Liyang Zhou, Hainiu Xu, 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, music producer and video content creator. I'm passionate about rearranging and recreating soundtracks from video games and animes (ACG) into many styles spanning progressive metal to funk to fusion to jazz. I take pride in my 35k-subscriber channel on Bilibili. My music can be found on all major streaming platforms and YouTube.

My first album A Doll's Lament is available for listening on all major streaming platforms.

A Doll's Lament

As a simultaneous drummer and AI researcher, I also study automatic drum generation using NLP techniques as a side project.

[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 BibTeX