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portfolio
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publications
WOSView Demo: A Tool to Explore the Web of Slides
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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Web of Slides: Automatic Linking of Lecture Slides to Facilitate Navigation
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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Collective Development of Large Scale Data Science Products via Modularized Assignments: An Experience Report
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
Explanation Mining
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
Scaling Up Data Science Course Projects: A Case Study
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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How Students Search Video Captions to Learn: An Analysis of Search Terms and Behavioral Timing Data
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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Toward a Big Data Analysis System for Historical Newspaper Collections Research
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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Exploring collaborative caption editing to augment video-based learning
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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Analogy generation by prompting large language models: A case study of instructgpt
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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CAM: A Large Language Model-based Creative Analogy Mining Framework
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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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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