Exploring Distantly-Labeled Rationales in Neural Network Models. - Quzhe Huang; Shengqi Zhu 002; Yansong Feng 002; Dongyan Zhao 001 (ACL/IJCNLP (1), 2021)

Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction. - Quzhe Huang; Shengqi Zhu 002; Yansong Feng 002; Yuan Ye 001; Yuxuan Lai; Dongyan Zhao 001 (ACL/IJCNLP (2), 2021)

Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED. - Quzhe Huang; Shibo Hao; Yuan Ye 001; Shengqi Zhu 002; Yansong Feng 002; Dongyan Zhao 001 (ACL (1), 2022)

More than Classification: A Unified Framework for Event Temporal Relation Extraction. - Quzhe Huang; Yutong Hu 002; Shengqi Zhu 002; Yansong Feng 002; Chang Liu 076; Dongyan Zhao 001 (ACL (1), 2023)

"Get Their Hands Dirty, Not Mine": On Researcher-Annotator Collaboration and the Agency of Annotators. - Shengqi Zhu 002; Jeffrey M. Rzeszotarski (ACL (Findings), 2024)

Data Paradigms in the Era of LLMs: On the Opportunities and Challenges of Qualitative Data in the WILD. - Shengqi Zhu 002; Jeffrey M. Rzeszotarski; David Mimno (CHI Extended Abstracts, 2025)

Navigating the Fog: How University Students Recalibrate Sensemaking Practices to Address Plausible Falsehoods in LLM Outputs. - Chao Zhang 082; Shengqi Zhu 002; Xinyu Yang 002; Yu-Chia Tseng; Shenrong Jiang; Jeffrey M. Rzeszotarski (CUI, 2025)

Million Eyes on the "Robot Umps": The Case for Studying Sports in HRI Through Baseball. - Waki Kamino; Andrea W. Wen-Yi; Dhruv Agarwal 001; Sil Hamilton; Eun Jeong Kang; Jieun Kim; Keigo Kusumegi; Pegah Moradi; Daniel Mwesigwa; Yan Tao; I-Ting Tsai; Ethan Yang; et al. (HRI, 2025)

What We Talk About When We Talk About LMs: Implicit Paradigm Shifts and the Ship of Language Models. - Shengqi Zhu 002; Jeffrey M. Rzeszotarski (NAACL (Long Papers), 2025)

Show or Tell? Modeling the evolution of request-making in Human-LLM conversations. - Shengqi Zhu 002; Jeffrey M. Rzeszotarski; David Mimno (CoRR, 2025)