TH2.R10.4
TASK-AGNOSTIC ZERO-SHOT LEARNING FOR REMOTE SENSING: A MULTI-VIEW AGENT APPROACH
Nandini Saini, Shubham Gupta, Indian Institute of Technology Jodhpur, India
Session:
TH2.R10: Natural Language Processing Capabilities Utilizing Open Knowledge Meshes Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Thu, 13 Aug, 11:45 - 12:00
Session Co-Chairs:
Justin Dennison, NOAA Joint Venture Partnerships and Ramesh Rangachar, NOAA
Presentation
Discussion
Resources
No resources available.
Session TH2.R10
TH2.R10.1: Enhancing A Multi-Domain Natural Language Search In An Open Knowledge Mesh with AI: Lessons Learned And Ways Forward
Karolyn Babalola, Rebecca Kurz, Elizabeth Redfearn, Booz Allen, United States
TH2.R10.2: NOAA KNOWLEDGE MESH FOR EMERGENCY MANAGEMENT AND RESPONSE IN COASTLINE DISASTERS
Dawson Miller, Achuna Ofonedu, Amogha Sinha, Archana Donavalli, Chip Steiner, Noblis, United States
TH2.R10.3: An Agentic Workflow for Querying NOAA Climate Archives: A Framework for Ensuring Scientific Integrity and Reproducibility with LLMs
Muhammad Adeel Hassan, Element 84, United States
TH2.R10.4: TASK-AGNOSTIC ZERO-SHOT LEARNING FOR REMOTE SENSING: A MULTI-VIEW AGENT APPROACH
Nandini Saini, Shubham Gupta, Indian Institute of Technology Jodhpur, India
Contacts