2 papers
cs.LG2025
FLoRA: Fused forward-backward adapters for parameter efficient fine-tuning and reducing inference-time latencies of LLMs
Dhananjaya Gowda, Seoha Song, Junhyun Lee +1
As the large language models (LLMs) grow in size each day, efficient training and fine-tuning has never been as important as nowadays. This resulted in the great interest in parame…
cs.CL2025
zFLoRA: Zero-Latency Fused Low-Rank Adapters
Dhananjaya Gowda, Seoha Song, Harshith Goka +1
Large language models (LLMs) are increasingly deployed with task-specific adapters catering to multiple downstream applications. In such a scenario, the additional compute associat…