🧑‍🔬 Subhojyoti Mukherjee

🏛️ Affiliations

🏢Adobe SystemsSan Jose · United States2024–2026 · 14 paperscurrent🎓Carnegie Mellon UniversityPittsburgh · United States2026 · 1 papercurrent🎓University of Wisconsin–MadisonMadison · United States2019–2025 · 13 papersEducation since 2019 · Ph.D. Candidate, Electrical and Computer EngineeringEmployment since 2019 · Ph.D. Candidate, Electrical And Computer Engineering🎓Indian Institute of Technology MadrasChennai · India2015–2018 · 3 papersEducation 2015–2018 · Master of Science (Research), Computer ScienceEmployment 2015–2018 · Teaching/Research Assistant, Computer Science🎓University of Massachusetts AmherstAmherst Center · United States2018–2019 · 1 paperEducation 2018–2019 · Ph.D Candidate, College of Information and Computer SciencesEmployment 2018–2019 · Ph.D. Candidate, College of Information and Computer Sciences

🏛️Adobe Systems IncSan Jose · United States2018Employment 2018 · Data Science Research Intern, STL Team

🏛️Inria Centre de recherche Lille Nord EuropeVilleneuve d'Ascq · France2017Employment 2017 · Research Intern, SequeL Lab

🏛️Tata Consultancy Services LtdMumbai · India2014Employment 2014 · Assistant System Engineer Trainee, Design and Development of Enterprise Solutions

🎓Maulana Abul Kalam Azad University of Technology, West BengalKolkata · India2009–2013Education 2009–2013 · Bachelor of Technology, Computer Science

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. From Selection to Generation: A Survey of LLM-based Active Learning (2025 · 22 citations)
   Active learning (AL) traditionally lowers labeling effort by picking the most useful unlabeled examples with metrics such as uncertainty or diversity.
2. A Survey on LLM-based Conversational User Simulation (2026 · 1 citation)
   This survey organizes the fast-growing literature on using large language models to imitate users in dialogue.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. From Selection to Generation: A Survey of LLM-based Active LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, et al.2025 · 22 citations
2. A Survey on LLM-based Conversational User SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bo Ni, Yu Wang, Leyao Wang, et al.2026 · 1 citation
3. StreamGaze: Gaze-Guided Temporal Reasoning and Proactive Understanding in Streaming Videos ↗arXiv (Cornell University) · no summary yetDaeun Lee et al.2025

🤝 Co-authors here

12 of 16 co-authors with a page, the most papers together first.

• Branislav Kveton ×2
• Franck Dernoncourt ×2
• Hongjie Chen ×2
• Yu Xia ×2
• Bo Ni
• Hanjia Lyu
• Joe Barrow
• Junda Wu
• Nesreen K. Ahmed
• Puneet Mathur
• Ryan Aponte
• Samyadeep Basu

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026

🔗 Cited by

Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated 1 November 2026

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