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cs.CL2026
Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge
Zhuoyi Yang, Yurun Song, Iftekhar Ahmed +1
Multi-hop question answering is widely used to evaluate the reasoning capabilities of large language models (LLMs), as it requires integrating multiple pieces of supporting knowled…
cs.CL2024
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
Yurun Song, Junchen Zhao, Ian G. Harris +1
In this paper, we introduce \textbf{Share}d \textbf{Lo}w \textbf{R}ank \textbf{A}daptation (ShareLoRA), a Large Language Model (LLM) fine-tuning technique that balances parameter e…