Behavior Quotient Learning for Low-Rank Adaptation of LLM Agents
LLM-based agents rely on heterogeneous interaction capabilities to accomplish complex tasks. Existing approaches often distribute these capabilities across multiple LoRA adapters, which increases adapter storage requirements and introduces routing overhead during inference. A single LoRA avoids this overhead, but learn...
Peng-Yang Zhou, Xiao-Bing Tu, Zheng-Xi Liu et al.
· 0 citations