Reasoning about Goals, Steps, and Temporal Ordering with WikiHow. - Li Zhang 039; Qing Lyu 001; Chris Callison-Burch (EMNLP (1), 2020)

Intent Detection with WikiHow. - Li Zhang 039; Qing Lyu 001; Chris Callison-Burch (AACL/IJCNLP, 2020)

Zero-shot Event Extraction via Transfer Learning: Challenges and Insights. - Qing Lyu 001; Hongming Zhang 009; Elior Sulem; Dan Roth 001 (ACL/IJCNLP (2), 2021)

Visual Goal-Step Inference using wikiHow. - Yue Yang 006; Artemis Panagopoulou; Qing Lyu 001; Li Zhang 039; Mark Yatskar; Chris Callison-Burch (EMNLP (1), 2021)

Goal-Oriented Script Construction. - Qing Lyu 001; Li Zhang 039; Chris Callison-Burch (INLG, 2021)

RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. - Haoyang Wen; Ying Lin; Tuan Manh Lai; Xiaoman Pan; Sha Li; Xudong Lin 003; Ben Zhou; Manling Li; Haoyu Wang 005; Hongming Zhang 009; Xiaodong Yu 003; Alexander Dong; et al. (NAACL-HLT (Demonstrations), 2021)

Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. - Shuyan Zhou; Li Zhang 039; Yue Yang 006; Qing Lyu 001; Pengcheng Yin; Chris Callison-Burch; Graham Neubig (ACL (1), 2022)

Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding of Recursive Noun Phrases. - Qing Lyu 001; Zheng Hua; Daoxin Li; Li Zhang 039; Marianna Apidianaki; Chris Callison-Burch (NAACL-HLT, 2022)

Explanation-based Finetuning Makes Models More Robust to Spurious Cues. - Josh Magnus Ludan; Yixuan Meng; Tai Nguyen 005; Saurabh Shah; Qing Lyu 001; Marianna Apidianaki; Chris Callison-Burch (ACL (1), 2023)

Faithful Chain-of-Thought Reasoning. - Qing Lyu 001; Shreya Havaldar; Adam Stein; Li Zhang 039; Delip Rao; Eric Wong 001; Marianna Apidianaki; Chris Callison-Burch (IJCNLP (1), 2023)

Representation of Lexical Stylistic Features in Language Models' Embedding Space. - Qing Lyu 001; Marianna Apidianaki; Chris Callison-Burch (*SEM@ACL, 2023)

Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck. - Josh Magnus Ludan; Qing Lyu 001; Yue Yang 006; Liam Dugan; Mark Yatskar; Chris Callison-Burch (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Towards Faithful Model Explanation in NLP: A Survey. - Qing Lyu 001; Marianna Apidianaki; Chris Callison-Burch (Comput. Linguistics, 2024)

Avoiding Copyright Infringement via Machine Unlearning. - Guangyao Dou; Zheyuan Liu 010; Qing Lyu 001; Kaize Ding; Eric Wong 001 (CoRR, 2024)

Calibrating Large Language Models with Sample Consistency. - Qing Lyu 001; Kumar Shridhar; Chaitanya Malaviya; Li Zhang 039; Yanai Elazar; Niket Tandon; Marianna Apidianaki; Mrinmaya Sachan; Chris Callison-Burch (AAAI, 2025)

Avoiding Copyright Infringement via Large Language Model Unlearning. - Guangyao Dou; Zheyuan Liu 010; Qing Lyu 001; Kaize Ding; Eric Wong 001 (NAACL (Findings), 2025)