Science Consultant Agent

2025/12/18 by K Karthikeyan, Philip Wu, K, Karthikeyan +5
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computational Physics and Python Applications #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning and Data Classification #Scientific Computing and Data Management

paper · pdf · doi:10.48550/arxiv.2512.16171

openalex publication_date 2025/12/18 · openalex created_date 2025/12/21 · openalex updated_date 2026/07/28

Abstract

The Science Consultant Agent is a web-based Artificial Intelligence (AI) tool that helps practitioners select and implement the most effective modeling strategy for AI-based solutions. It operates through four core components: Questionnaire, Smart Fill, Research-Guided Recommendation, and Prototype Builder. By combining structured questionnaires, literature-backed solution recommendations, and prototype generation, the Science Consultant Agent accelerates development for everyone from Product Managers and Software Developers to Researchers. The full pipeline is illustrated in Figure 1.

Citations

• The rising costs of training frontier AI models
• LoRA: Low-Rank Adaptation of Large Language Models
• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
• AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
• Distilling the Knowledge in a Neural Network

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