Hua Shen

According to our database, Hua Shen authored at least 19 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use.

Qianou Ma, Weirui Peng, Chenyang Yang, Hua Shen, Ken Koedinger, Tongshuang Wu

ACM Trans. Comput. Hum. Interact., August, 2025

Causally Modeling the Linguistic and Social Factors that Predict Email Response.

Yinuo Xu, Hong Chen, Sushrita Rakshit, Aparna Ananthasubramaniam, Omkar Yadav, Mingqian Zheng, Michael Jiang, Lechen Zhang, Bowen Yi, Kenan Alkiek, Abraham Israeli, Bangzhao Shu, Hua Shen, Jiaxin Pei, Haotian Zhang, Miriam Schirmer, David Jurgens

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Bidirectional Human-AI Alignment: Emerging Challenges and Opportunities.

Hua Shen, Tiffany Knearem, Reshmi Ghosh, Michael Xieyang Liu, Andrés Monroy-Hernández, Tongshuang Wu, Diyi Yang, Yun Huang, Tanushree Mitra, Yang Li, Marti Hearst

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

"Here the GPT made a choice, and every choice can be biased": How Students Critically Engage with LLMs through End-User Auditing Activity.

Snehal Prabhudesai, Ananya Prashant Kasi, Anmol Mansingh, Anindya Das Antar, Hua Shen, Nikola Banovic

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

ValueCompass: A Framework of Fundamental Values for Human-AI Alignment.

Hua Shen, Tiffany Knearem, Reshmi Ghosh, Yu-Ju Yang, Tanushree Mitra, Yun Huang

CoRR, 2024

What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs.

Qianou Ma, Weirui Peng, Hua Shen, Kenneth R. Koedinger, Tongshuang Wu

CoRR, 2024

Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue.

Jonathan Ivey, Shivani Kumar, Jiayu Liu, Hua Shen, Sushrita Rakshit, Rohan Raju, Haotian Zhang, Aparna Ananthasubramaniam, Junghwan Kim, Bowen Yi, Dustin Wright, Abraham Israeli, Anders Giovanni Møller, Lechen Zhang, David Jurgens

CoRR, 2024

Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions.

Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Sushrita Rakshit, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary C. Lipton, Qiaozhu Mei, Rada Mihalcea, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens

CoRR, 2024

A Design Space for Intelligent and Interactive Writing Assistants.

Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Antonette Shibani, Disha Shrivastava, Lila Shroff, Agnia Sergeyuk, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Zejiang Shen, Pao Siangliulue

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging.

Qianou Ma, Hua Shen, Kenneth R. Koedinger, Sherry Tongshuang Wu

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

HypoCompass: Large-Language-Model-based Tutor for Hypothesis Construction in Debugging for Novices.

Qianou Ma, Hua Shen, Kenneth R. Koedinger, Tongshuang Wu

CoRR, 2023

Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts.

Adaku Uchendu, Jooyoung Lee, Hua Shen, Thai Le, Ting-Hao Kenneth Huang, Dongwon Lee

CoRR, 2023

Parachute: Evaluating Interactive Human-LM Co-writing Systems.

Hua Shen, Tongshuang Wu

CoRR, 2023

ScatterShot: Interactive In-context Example Curation for Text Transformation.

Sherry Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro

Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing.

Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao Kenneth Huang

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022

Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers.

Shih-Hong Huang, Chieh-Yang Huang, Yuxin Deng, Hua Shen, Szu-Chi Kuan, Ting-Hao Kenneth Huang

CoRR, 2022

Are Shortest Rationales the Best Explanations for Human Understanding?

Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Explaining the Road Not Taken.

Hua Shen, Ting-Hao Kenneth Huang

CoRR, 2021

2020

How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels.

Hua Shen, Ting-Hao (Kenneth) Huang

Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing, 2020