How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels. - Hua Shen 005; Ting-Hao (Kenneth) Huang (HCOMP, 2020)

Explaining the Road Not Taken. - Hua Shen 005; Ting-Hao Kenneth Huang (CoRR, 2021)

Are Shortest Rationales the Best Explanations for Human Understanding? - Hua Shen 005; Tongshuang Wu; Wenbo Guo 002; Ting-Hao Kenneth Huang (ACL (2), 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 005; Szu-Chi Kuan; Ting-Hao Kenneth Huang (CoRR, 2022)

ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing. - Hua Shen 005; Chieh-Yang Huang; Tongshuang Wu; Ting-Hao Kenneth Huang (CSCW Companion, 2023)

ScatterShot: Interactive In-context Example Curation for Text Transformation. - Sherry Wu; Hua Shen 005; Daniel S. Weld; Jeffrey Heer; Marco Túlio Ribeiro (IUI, 2023)

Parachute: Evaluating Interactive Human-LM Co-writing Systems. - Hua Shen 005; Tongshuang Wu (CoRR, 2023)

Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts. - Adaku Uchendu; Jooyoung Lee; Hua Shen 005; Thai Le; Ting-Hao Kenneth Huang; Dongwon Lee 001 (CoRR, 2023)

HypoCompass: Large-Language-Model-based Tutor for Hypothesis Construction in Debugging for Novices. - Qianou Ma; Hua Shen 005; Kenneth R. Koedinger; Tongshuang Wu (CoRR, 2023)

How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging. - Qianou Ma; Hua Shen 005; Kenneth R. Koedinger; Sherry Tongshuang Wu (AIED (1), 2024)

A Design Space for Intelligent and Interactive Writing Assistants. - Mina Lee 002; Katy Ilonka Gero; John Joon Young Chung; Simon Buckingham Shum; Vipul Raheja; Hua Shen 005; Subhashini Venugopalan; Thiemo Wambsganss; David Zhou; Emad A. Alghamdi; Tal August; Avinash Bhat; et al. (CHI, 2024)

Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. - Hua Shen 005; Tiffany Knearem; Reshmi Ghosh; Kenan Alkiek; Kundan Krishna; Yachuan Liu; Ziqiao Ma 001; Savvas Petridis; Yi-Hao Peng; Li Qiwei; Sushrita Rakshit; Chenglei Si; et al. (CoRR, 2024)

Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue. - Jonathan Ivey; Shivani Kumar; Jiayu Liu; Hua Shen 005; Sushrita Rakshit; Rohan Raju; Haotian Zhang; Aparna Ananthasubramaniam; Junghwan Kim; Bowen Yi; Dustin Wright 001; Abraham Israeli; et al. (CoRR, 2024)

What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs. - Qianou Ma; Weirui Peng; Hua Shen 005; Kenneth R. Koedinger; Tongshuang Wu (CoRR, 2024)

ValueCompass: A Framework of Fundamental Values for Human-AI Alignment. - Hua Shen 005; Tiffany Knearem; Reshmi Ghosh; Yu-Ju Yang; Tanushree Mitra; Yun Huang (CoRR, 2024)

"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 005; Nikola Banovic 001 (CHI, 2025)

Bidirectional Human-AI Alignment: Emerging Challenges and Opportunities. - Hua Shen 005; Tiffany Knearem; Reshmi Ghosh; Michael Xieyang Liu; Andrés Monroy-Hernández; Tongshuang Wu; Diyi Yang; Yun Huang; Tanushree Mitra; Yang Li 058; Marti Hearst (CHI Extended Abstracts, 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; et al. (NAACL (Long Papers), 2025)

What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use. - Qianou Ma; Weirui Peng; Chenyang Yang 002; Hua Shen 005; Ken Koedinger; Tongshuang Wu (ACM Trans. Comput. Hum. Interact., 2025)