Anand A. Maha

Empowering Small Language Models With Chain of Thought and Parameter Efficient Fine Tuning for Efficient Deep Reasoning

A systematic, multi-model framework that combines Chain-of-Thought prompting with Low-Rank Adaptation parameter-efficient fine-tuning, and measures the contribution of each component independently is investigated, making capable SLM-based reasoning deployable without datacenter-scale infrastructure.