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About
Hi! My name is Veronica Qing Lyu (吕晴). I am a fifth-year PhD student in Computer and Information Science at the University of Pennsylvania, advised by Chris Callison-Burch and Marianna Apidianaki.
In the beginning of my PhD studies, I worked on information extraction and script learning. My current research interests lie in the intersection of linguistics and natural language processing, especially probing Language Models (LMs) for interpretability. Specifically, I hope to answer three questions:
(i) What knowledge do LMs encode?
(ii) Why do LMs make certain predictions?
(iii) How can we make interpretability insights from (i) and (ii) actionable?
Before Penn, I was an undergrad in linguistics at the Department of Foreign Languages and Literatures at Tsinghua University.
I'm co-organizing a tutorial "Explanation in the Era of LLMs" at NAACL 2024 (June 16th, 9am CST). Come check it out!
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(*: equal contribution. †: undergraduate/master's mentee.)
Calibrating Large Language Models with Sample Consistency
Qing Lyu*, Kumar Shridhar*, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch
On arXiv. [paper]
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Towards Faithful Model Explanation in NLP: A Survey
Qing Lyu, Marianna Apidianaki, Chris Callison-Burch
Computational Linguistics 2024. [survey][outline][slides] [talk]
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Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck
Josh Magnus Ludan†, Qing Lyu, Yue Yang, Liam Dugan, Mark Yatskar, Chris Callison-Burch
On arXiv. [paper][code]
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Faithful Chain-of-Thought Reasoning
Qing Lyu*, Shreya Havaldar*, Adam Stein*, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch
IJCNLP-AACL 2023. [paper][repo][talk]
Area Chair Award (Interpretability and Analysis of Models for NLP).
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Explanation-based Finetuning Makes Models More Robust to Spurious Cues
Josh Magnus Ludan†, Yixuan Meng*†, Tai Nguyen*†, Saurabh Shah*†, Qing Lyu, Marianna Apidianaki, Chris Callison-Burch
ACL 2023. [paper][repo]
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Representation of Lexical Stylistic Features in Language Models’ Embedding Space
Qing Lyu, Marianna Apidianaki, Chris Callison-Burch
*SEM 2023. [paper][repo]
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Is "my favorite new movie" my favorite movie? Probing the Understanding of Recursive Noun Phrases
Qing Lyu, Hua Zheng, Daoxin Li, Li Zhang, Marianna Apidianaki, Chris Callison-Burch
NAACL 2022. [paper][repo][bibtex][talk]
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RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios
Xinya Du, Zixuan Zhang, Sha Li, Ziqi Wang, Pengfei Yu, Hongwei Wang, Tuan Manh Lai, Xudong Lin, Iris Liu, Ben Zhou, Haoyang Wen, Manling Li, Darryl Hannan, Jie Lei, Hyounghun Kim, Rotem Dror, Haoyu Wang, Michael Regan, Qi Zeng, Qing Lyu, Charles Yu, Carl Edwards, Xiaomeng Jin, Yizhu Jiao, Ghazaleh Kazeminejad, Zhenhailong Wang, Chris Callison-Burch, Carl Vondrick, Mohit Bansal, Dan Roth, Jiawei Han, Shih-Fu Chang, Martha Palmer, Heng Ji
NAACL 2022 demo track. [paper][repo][demo]
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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
A. Srivastava, …, Li Zhang, Qing Lyu, Chris Callison-Burch, … (442 authors in total)
TMLR 2022. [paper][repo]
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Show Me More Details: Discovering Event Hierarchies from WikiHow
Shuyan Zhou*, Li Zhang*, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig
ACL 2022. [paper][demo][bibtex]
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Visual Goal-Step Inference using wikiHow
Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch
EMNLP 2021.; presented at the 2nd Workshop on Advances in Language and Vision Research at NAACL 2021. [paper][bibtex]
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Goal-Oriented Script Construction
Qing Lyu*, Li Zhang*, Chris Callison-Burch
INLG 2021. [paper][repo][bibtex]
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Zero-shot Event Extraction via Transfer Learning: Challenges and Insights
Qing Lyu, Hongming Zhang, Elior Sulem, Dan Roth
ACL 2021. [paper][repo][bibtex][talk]
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RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System
Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji
NAACL 2021 demo track. [paper][repo][bibtex]
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Intent Detection with WikiHow
Li Zhang, Qing Lyu, Chris Callison-Burch
AACL-IJCNLP 2020. [paper][repo][bibtex][talk]
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Reasoning about goals, steps, and temporal ordering with wikihow
Li Zhang*, Qing Lyu*, Chris Callison-Burch
EMNLP 2020; Spotlight presentation at the Workshop on Enormous Language Models (WELM) at ICLR 2021. [paper][repo][bibtex][talk]
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