Vishal Pallagani
Scholar

Vishal Pallagani

Google Scholar ID: uUkfixUAAAAJ
University of South Carolina
Large Language ModelsNeurosymbolic AIAutomated Planning
Citations & Impact
All-time
Citations
960
 
H-index
10
 
i10-index
12
 
Publications
20
 
Co-authors
21
list available
Resume (English only)
Academic Achievements
  • Paper accepted for KEPS 2022, co-located with ICAPS 2022. Paper accepted in PRL workshop at ICAPS 2021. Demo accepted at ICAPS 2021.
Research Experience
  • Internship at IBM Thomas J. Watson Research Center, worked on Plansformer, a large language model capable of generating valid and cost-optimal symbolic plans. Intern as a Research Scientist at IBM Research, Yorktown Heights, USA, starting May 2022, and accepted a return internship offer in September 2022.
Education
  • Ph.D. student in Computer Science and Engineering at the University of South Carolina, jointly mentored by Dr. Biplav Srivastava and Dr. Amit Sheth. Bachelor's degree in Computer Science and Engineering from International Institute of Information Technology (IIIT), Naya Raipur, India, graduated in 2020.
Background
  • Research Interests: Intersection of Natural Language Processing and Automated Planning; interested in human cognitive theories and their relevance in Computer Science research.
Miscellany
  • Attended the IBM Neuro-Symbolic AI Summer School 2022.