4 papers
Scientific Code Search at Scale: A Multi-Domain Dataset and Benchmark
Nishan Pantha, Pranath Reddy Kumbam, Sajil Awale +8
Scientists increasingly rely on open-source tools to support their research workflows, yet discovering relevant software among over 600 million GitHub repositories remains challeng…
Collaborative Agent Reasoning Engineering (CARE): A Three-Party Design Methodology for Systematically Engineering AI Agents with Subject Matter Experts, Developers, and Helper Agents
Rahul Ramachandran, Nidhi Jha, Muthukumaran Ramasubramanian
We present Collaborative Agent Reasoning Engineering (CARE), a disciplined methodology for engineering Large Language Model (LLM) agents in scientific domains. Unlike ad-hoc trial-…
Toward Open Earth Science as Fast and Accessible as Natural Language
Marquita Ellis, Iksha Gurung, Muthukumaran Ramasubramanian +1
Is natural-language-driven earth observation data analysis now feasible with the assistance of Large Language Models (LLMs)? For open science in service of public interest, feasibi…
Challenges in Guardrailing Large Language Models for Science
Nishan Pantha, Muthukumaran Ramasubramanian, Iksha Gurung +2
The rapid development in large language models (LLMs) has transformed the landscape of natural language processing and understanding (NLP/NLU), offering significant benefits across…