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ORCIDHua Shen 0005
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Other persons with the same name
- Hua Shen — disambiguation page
- Hua Shen 0001
![[0000-0001-8238-042X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8238-042X")
- Hua Shen 0002
- Hua Shen 0003
- Hua Shen 0004
- Hua Shen 0006 — NYU Shanghai, China
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2020 – today
- 2025
[j1]Qianou Ma, Weirui Peng, Chenyang Yang, Hua Shen, Ken Koedinger, Tongshuang Wu:
What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use. ACM Trans. Comput. Hum. Interact. 32(4): 41:1-41:27 (2025)- [c10]Hua Shen, Tiffany Knearem, Reshmi Ghosh, Michael Xieyang Liu, Andrés Monroy-Hernández, Tongshuang Wu, Diyi Yang, Yun Huang, Tanushree Mitra, Yang Li, Marti Hearst:
Bidirectional Human-AI Alignment: Emerging Challenges and Opportunities. CHI Extended Abstracts 2025: 857:1-857:6 - [c9]Snehal Prabhudesai, Ananya Prashant Kasi, Anmol Mansingh, Anindya Das Antar, Hua Shen, Nikola Banovic:
"Here the GPT made a choice, and every choice can be biased": How Students Critically Engage with LLMs through End-User Auditing Activity. CHI 2025: 1015:1-1015:23 - [c8]Qianou Ma, Hua Shen, Ken Koedinger, Tongshuang Wu:
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (Extended Abstract). IJCAI 2025: 10922-10926 - [c7]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:
Causally Modeling the Linguistic and Social Factors that Predict Email Response. NAACL (Long Papers) 2025: 11842-11866 - 2024
- [c6]Qianou Ma, Hua Shen, Kenneth R. Koedinger, Sherry Tongshuang Wu:
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging. AIED (1) 2024: 265-279 - [c5]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:
A Design Space for Intelligent and Interactive Writing Assistants. CHI 2024: 1054:1-1054:35 - [i14]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, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, 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, Shannon Zejiang Shen, Pao Siangliulue:
A Design Space for Intelligent and Interactive Writing Assistants. CoRR abs/2403.14117 (2024) - [i13]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:
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. CoRR abs/2406.09264 (2024) - [i12]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:
Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue. CoRR abs/2409.08330 (2024) - [i11]Qianou Ma, Weirui Peng, Hua Shen, Kenneth R. Koedinger, Tongshuang Wu:
What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs. CoRR abs/2409.08775 (2024) - [i10]Hua Shen, Tiffany Knearem, Reshmi Ghosh, Yu-Ju Yang, Tanushree Mitra, Yun Huang:
ValueCompass: A Framework of Fundamental Values for Human-AI Alignment. CoRR abs/2409.09586 (2024) - 2023
- [c4]Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao Kenneth Huang:
ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing. CSCW Companion 2023: 384-387 - [c3]Sherry Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro:
ScatterShot: Interactive In-context Example Curation for Text Transformation. IUI 2023: 353-367 - [i9]Tongshuang Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro:
ScatterShot: Interactive In-context Example Curation for Text Transformation. CoRR abs/2302.07346 (2023) - [i8]Hua Shen, Tongshuang Wu:
Parachute: Evaluating Interactive Human-LM Co-writing Systems. CoRR abs/2303.06333 (2023) - [i7]Adaku Uchendu, Jooyoung Lee, Hua Shen, Thai Le, Ting-Hao Kenneth Huang, Dongwon Lee:
Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts. CoRR abs/2304.01002 (2023) - [i6]Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao Kenneth Huang:
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing. CoRR abs/2305.09770 (2023) - [i5]Qianou Ma, Hua Shen, Kenneth R. Koedinger, Tongshuang Wu:
HypoCompass: Large-Language-Model-based Tutor for Hypothesis Construction in Debugging for Novices. CoRR abs/2310.05292 (2023) - 2022
- [c2]Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang:
Are Shortest Rationales the Best Explanations for Human Understanding? ACL (2) 2022: 10-19 - [i4]Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang:
Are Shortest Rationales the Best Explanations for Human Understanding? CoRR abs/2203.08788 (2022) - [i3]Shih-Hong Huang, Chieh-Yang Huang, Yuxin Deng, Hua Shen, Szu-Chi Kuan, Ting-Hao Kenneth Huang:
Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers. CoRR abs/2212.03969 (2022) - 2021
- [i2]Hua Shen, Ting-Hao Kenneth Huang:
Explaining the Road Not Taken. CoRR abs/2103.14973 (2021) - 2020
- [c1]Hua Shen, Ting-Hao (Kenneth) Huang:
How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels. HCOMP 2020: 168-172 - [i1]Hua Shen, Ting-Hao Kenneth Huang:
How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels. CoRR abs/2008.11721 (2020)
Coauthor Index
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