Shengqi Zhu

Orcid: 0009-0002-5660-3241

Affiliations:
  • Cornell University Ithaca, NY, USA
  • University of Washington, WA, USA (former)
  • Peking University, Beijing, China (former)


According to our database1, Shengqi Zhu authored at least 10 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Show or Tell? Modeling the evolution of request-making in Human-LLM conversations.
CoRR, August, 2025

What We Talk About When We Talk About LMs: Implicit Paradigm Shifts and the Ship of Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Million Eyes on the "Robot Umps": The Case for Studying Sports in HRI Through Baseball.
Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

Navigating the Fog: How University Students Recalibrate Sensemaking Practices to Address Plausible Falsehoods in LLM Outputs.
Proceedings of the 7th ACM Conference on Conversational User Interfaces, 2025

Data Paradigms in the Era of LLMs: On the Opportunities and Challenges of Qualitative Data in the WILD.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024
"Get Their Hands Dirty, Not Mine": On Researcher-Annotator Collaboration and the Agency of Annotators.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
More than Classification: A Unified Framework for Event Temporal Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Exploring Distantly-Labeled Rationales in Neural Network Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021


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