Shengqi Zhu

16 papers A* 1Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2026 — conf
Show or Tell? Modeling the evolution of request-making in Human-LLM conversations.
EACL (Findings)
Shengqi Zhu, Jeffrey M. Rzeszotarski, David Mimno
2025 — conf
Data Paradigms in the Era of LLMs: On the Opportunities and Challenges of Qualitative Data in the WILD.
CHI Extended Abstracts
Shengqi Zhu, Jeffrey M. Rzeszotarski, David Mimno
2025 A* conf
Million Eyes on the "Robot Umps": The Case for Studying Sports in HRI Through Baseball.
HRI
Waki Kamino, Andrea W. Wen-Yi, Dhruv Agarwal, Sil Hamilton, Eun Jeong Kang, Jieun Kim, Keigo Kusumegi, Pegah Moradi, Daniel Mwesigwa, Yan Tao, I-Ting Tsai, Ethan Yang, Shengqi Zhu, Shu-Jung Han, Chi-Jung Lee, Michael Joseph Sack, Tianhong Catherine Yu, Weslie Khoo, Andy Elliot Ricci, Yoyo Tsung-Yu Hou, Boyoung Kim, Selma Sabanovic, David J. Crandall, Karen Levy, Malte F. Jung
2025 — conf
Navigating the Fog: How University Students Recalibrate Sensemaking Practices to Address Plausible Falsehoods in LLM Outputs.
CUI
Chao Zhang, Shengqi Zhu, Xinyu Yang, Yu-Chia Tseng, Shenrong Jiang, Jeffrey M. Rzeszotarski
2025 J jnl
Show or Tell? Modeling the evolution of request-making in Human-LLM conversations.
CoRR
Shengqi Zhu, Jeffrey M. Rzeszotarski, David Mimno
2025 — conf
What We Talk About When We Talk About LMs: Implicit Paradigm Shifts and the Ship of Language Models.
NAACL (Long Papers)
Shengqi Zhu, Jeffrey M. Rzeszotarski
2024 — conf
"Get Their Hands Dirty, Not Mine": On Researcher-Annotator Collaboration and the Agency of Annotators.
ACL (Findings)
Shengqi Zhu, Jeffrey M. Rzeszotarski
2024 J jnl
What We Talk About When We Talk About LMs: Implicit Paradigm Shifts and the Ship of Language Models.
CoRR
Shengqi Zhu, Jeffrey M. Rzeszotarski
2023 — conf
More than Classification: A Unified Framework for Event Temporal Relation Extraction.
ACL (1)
Quzhe Huang, Yutong Hu, Shengqi Zhu, Yansong Feng, Chang Liu, Dongyan Zhao
2023 J jnl
More than Classification: A Unified Framework for Event Temporal Relation Extraction.
CoRR
Quzhe Huang, Yutong Hu, Shengqi Zhu, Yansong Feng, Chang Liu, Dongyan Zhao
2022 — conf
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED.
ACL (1)
Quzhe Huang, Shibo Hao, Yuan Ye, Shengqi Zhu, Yansong Feng, Dongyan Zhao
2022 J jnl
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED.
CoRR
Quzhe Huang, Shibo Hao, Yuan Ye, Shengqi Zhu, Yansong Feng, Dongyan Zhao
2021 — conf
Exploring Distantly-Labeled Rationales in Neural Network Models.
ACL/IJCNLP (1)
Quzhe Huang, Shengqi Zhu, Yansong Feng, Dongyan Zhao
2021 J jnl
Exploring Distantly-Labeled Rationales in Neural Network Models.
CoRR
Quzhe Huang, Shengqi Zhu, Yansong Feng, Dongyan Zhao
2021 — conf
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction.
ACL/IJCNLP (2)
Quzhe Huang, Shengqi Zhu, Yansong Feng, Yuan Ye, Yuxuan Lai, Dongyan Zhao
2021 J jnl
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction.
CoRR
Quzhe Huang, Shengqi Zhu, Yansong Feng, Yuan Ye, Yuxuan Lai, Dongyan Zhao