Reproduce “GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Muhammad Umer Sheikh, Khawar Shehzad, Salman Khan, Fahad Shahbaz Khan, Muhammad Haris Khan
The authors present GCA, a Gulf-focused climate question-answering system that combines a regional dataset with tools for retrieving and analyzing climate information. GCA-DS contains 201,410 question-answer pairs, including text and visual-temporal items, and the model is fine-tuned from Qwen2.5-VL 7B. On the tool-use benchmark, GCA reaches 88.2 AnsAcc versus 52.3, demonstrating improved benchmark answers, not validated real-world decision support.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.