3 papers
cs.AI2026
Paper Pilot: A Human-in-the-Loop Expert System for Evidence-Traceable Scientific Manuscript Generation in Applied Sciences
Nidhi Jha, Siddharth Chaudhary, Ajinkya Kulkarni
Large language model (LLM) agents are increasingly embedded in scientific workflows for literature analysis, drafting, and review. Existing systems advance autonomous discovery and…
cs.IR2026
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…
cs.AI2026
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-…