Sagnik Mukherjee
Scholar

Sagnik Mukherjee

Google Scholar ID: v4lvWXoAAAAJ
University of Illinois, Urbana Champaign
Natural Language ProcessingLarge Language ModelsMachine Learning
Citations & Impact
All-time
Citations
209
 
H-index
6
 
i10-index
6
 
Publications
13
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Published papers in NeurIPS 2025, ICML 2025, EMNLP 2024; received the Neurips scholar award; started a summer internship at AIIL group, Microsoft Research in May 2025.
Research Experience
  • Worked at the Bing Ads Team at Microsoft on Dense and Generative retrieval for Ads Snippets. Also spent 3 months as a Research Assistant at MBZUAI working with Prof. Monojit Choudhury.
Education
  • Graduated from Indian Institute of Technology Kanpur in 2021 with a bachelor's degree in Electrical Engineering. Worked with Prof. Ashutosh Modi and Prof. Arnab Bhattacharya during his time at IIT Kanpur.
Background
  • A second-year PhD student at the University of Illinois, Urbana Champaign, with research interests centered around Large Language Models, particularly in building next-generation LLMs that can continually and scalably learn from interactions.
Miscellany
  • Contact information includes email, CV, LinkedIn, Google Scholar, and Twitter.