Manav Nitin Kapadnis
Scholar

Manav Nitin Kapadnis

Google Scholar ID: L7KLra8AAAAJ
Student at Language Technologies Institute, Carnegie Mellon University
LLMsDomain-specific NLPRepresentational learningMultimodal Machine Learning
Citations & Impact
All-time
Citations
84
 
H-index
6
 
i10-index
5
 
Publications
20
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • FastDoc paper accepted in Transactions of Machine Learning (TMLR) Journal; Part of Master’s Thesis accepted in 6th Clinical Natural Language Processing Workshop At NAACL 2024; Bachelor’s Thesis accepted in EMNLP Findings 2023; Attended EMNLP’23 in Singapore; System description paper accepted in Social Media Mining for Health Applications Shared Task (COLING 2022); Paper accepted in Language Resources and Evaluation Conference (LREC 2022); Paper accepted in Scientific Document Understanding Workshop at AAAI 2022; Papers accepted in The 28th International Conference on Neural Information Processing (ICONIP2021) and 8th workshop on ArgumentMining at EMNLP 2021.
Research Experience
  • Worked as a Data Science Intern at Sony Research; Summer Intern at Articulab Group, Inria Paris; Research Associate at TrAIL Lab, IIT Kharagpur; Participated in Mitacs Globalink Research Internship program at the University of Alberta under Prof. Lili Mou; Research Intern at the Financial Computing and Analytics Group at University College London.
Education
  • Currently pursuing a Master's degree in Intelligent Information Systems (MIIS) at the Language Technologies Institute within the School of Computer Science at Carnegie Mellon University. Previously completed an Integrated Dual Degree (B.Tech+M.Tech) from the Department of Electrical Engineering at IIT Kharagpur, where he worked as an undergraduate researcher under the supervision of Prof. Pawan Goyal and Prof. Niloy Ganguly.
Background
  • Research interests include multimodal NLP, multi-agent interaction based task completion, conversational grounding in a multi-turn setting, and representational learning.
Miscellany
  • Personal interests not mentioned.