Bhavya

According to our database, Bhavya authored at least 14 papers between 2019 and 2025.

Collaborative distances:

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

2025

STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds.

Yinfang Chen, Jiaqi Pan, Jackson Clark, Yiming Su, Noah Zheutlin, Bhavya, Rohan R. Arora, Yu Deng, Saurabh Jha, Tianyin Xu

CoRR, June, 2025

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks.

Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O. Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Pavankumar Murali, Jae-wook Ahn, Debanjana Kar, Ameet Rahane, Carlos Fonseca, Amit M. Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. Fuller, Ruchir Puri

CoRR, February, 2025

2024

ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering?

Pragati Shuddhodhan Meshram, Swetha Karthikeyan, Bhavya, Suma Bhat

CoRR, 2024

Exploring AI-powered Multimodal Analogies for Science Education.

Shradha Sehgal, Bhavya, Krishna Phani Datta, Aditi Mallavarapu, ChengXiang Zhai

Proceedings of the Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), 2024

AnaDE1.0: A Novel Data Set for Benchmarking Analogy Detection and Extraction.

Bhavya, Shradha Sehgal, Jinjun Xiong, ChengXiang Zhai

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

CAM: A Large Language Model-based Creative Analogy Mining Framework.

Bhavya, Jinjun Xiong, Chengxiang Zhai

Proceedings of the ACM Web Conference 2023, 2023

Exploring Large Language Models for Low-Resource IT Information Extraction.

Bhavya, Paulina Toro Isaza, Yu Deng, Michael Nidd, Amar Prakash Azad, Larisa Shwartz, ChengXiang Zhai

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT.

Bhavya, Jinjun Xiong, Chengxiang Zhai

CoRR, 2022

Toward a big data analysis system for historical newspaper collections research.

Sandeep Puthanveetil Satheesan, Bhavya, Adam Davies, Alan B. Craig, Yu Zhang, ChengXiang Zhai

Proceedings of the PASC '22: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, June 27, 2022

2021

Scaling Up Data Science Course Projects: A Case Study.

Bhavya, Jinfeng Xiao, Chengxiang Zhai

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

2020

Collective Development of Large Scale Data Science Products via Modularized Assignments: An Experience Report.

Bhavya, Assma Boughoula, Aaron Green, ChengXiang Zhai

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Explanation Mining.

Bhavya, ChengXiang Zhai

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

2019

WOSView Demo: A Tool to Explore the Web of Slides.

Sahiti Labhishetty, Bhavya, Kevin Pei, Assma Boughoula, Chengxiang Zhai

Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Web of Slides: Automatic Linking of Lecture Slides to Facilitate Navigation.

Sahiti Labhishetty, Bhavya, Kevin Pei, Assma Boughoula, Chengxiang Zhai

Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019