S Sakshi
Scholar

S Sakshi

Google Scholar ID: F_-YNVAAAAAJ
Ph.D. in CS at University of Maryland, College Park
Machine LearningNatural Language ProcessingAudio Processing
Citations & Impact
All-time
Citations
390
 
H-index
6
 
i10-index
6
 
Publications
19
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Paper 'MMAU' accepted to ICLR 2025 (Spotlight)
  • Released MMAU in September 2024—the most comprehensive audio understanding and reasoning benchmark to date
  • Papers 'EH-MAM' and 'GAMA' accepted to EMNLP 2024
  • Released GAMA in June 2024—an LLM with strong audio-understanding capabilities
  • One paper accepted to ICLR 2024
  • Two papers accepted to NAACL 2024
  • Two papers accepted to ACL 2024
  • One paper accepted to EMNLP 2023; attended the conference in person in Singapore in December 2023
  • One paper accepted to InterSpeech 2022