Published in ACM Web Conference, 2023
Bhavya Bhavya, Jinjun Xiong, and Chengxiang Zhai. “CAM: A Large Language Model-based Creative Analogy Mining Framework”, In Proceedings of the ACM Web Conference, 2023.
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Published in International Conference on Natural Language Generation, 2022
Bhavya Bhavya, Jinjun Xiong, Chengxiang Zhai. “Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT”, In Proceedings of the 15th International Conference on Natural Language Generation, 2022.
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Published in Educational technology research and development, 2022
Bhavya Bhavya, Si Chen, Zhilin Zhang, Wenting Li, Chengxiang Zhai, Lawrence Angrave, and Yun Huang. “Exploring collaborative caption editing to augment video-based learning”, In Educational technology research and development, 2022.
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Published in PASC '22: Proceedings of the Platform for Advanced Scientific Computing Conference, 2022
Sandeep Puthanveetil Satheesan, Bhavya Bhavya, Adam Davies, Alan B. Craig, Yu Zhang, ChengXiang Zhai. “Toward a Big Data Analysis System for Historical Newspaper Collections Research”, In Proceedings of the Platform for Advanced Scientific Computing Conference, 2022.
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Published in ASEE, 2021
Zhilin Zhang*, Bhavya Bhavya*, Lawrence Angrave, Ruihua Sui, Rob Kooper, Chirantan Mahipal and Yun Huang. “How Students Search Video Captions to Learn: An Analysis of Search Terms and Behavioral Timing Data”, Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference., 2021.
*denotes equal contribution
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Published in ACM Learning @ Scale (L@S), 2021
Bhavya Bhavya, Jinfeng Xiao and Chengxiang Zhai. “Scaling Up Data Science Course Projects: A Case Study”, In Proceedings of the Eighth ACM Conference on Learning @ Scale, 2021.
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Published in ACM Learning@Scale (L@S), 2020
Bhavya and Chengxiang Zhai. “Explanation Mining”, In Proceedings of the Seventh ACM Conference on Learning @ Scale (L@S), 2020. Read more
Published in SIGCSE, 2020
Bhavya, Assma Boughoula, Aaron Green, and Chengxiang Zhai. “Collective Development of Large Scale Data Science Products via Modularized Assignments: An Experience Report”, In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE), 2020. Read more
Published in ACM Learning @ Scale (L@S), 2019
Labhishetty Sahiti* , Bhavya* , Kevin Pei* , Assma Boughoula, and Chengxiang Zhai. “Web of Slides: Automatic Linking of Lecture Slides to Facilitate Navigation.”, In Proceedings of the Sixth (2019) ACM Conference on Learning@ Scale (L@S), 2019.
*denotes equal contribution
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Published in ACM Learning @ Scale (L@S), 2019
Labhishetty Sahiti*, Bhavya*, Kevin Pei*, Assma Boughoula, and Chengxiang Zhai. “WOSView Demo: A Tool to Explore the Web of Slides.” In Proceedings of the Sixth (2019) ACM Conference on Learning@ Scale (L@S), 2019.
*denotes equal contribution
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