2 papers
cs.CL2026
GiVA: Gradient-Informed Bases for Vector-Based Adaptation
Neeraj Gangwar, Rishabh Deshmukh, Michael Shavlovsky +4
As model sizes continue to grow, parameter-efficient fine-tuning has emerged as a powerful alternative to full fine-tuning. While LoRA is widely adopted among these methods, recent…
cs.IR2024
Towards Scalability and Extensibility of Query Reformulation Modeling in E-commerce Search
Ziqi Zhang, Yupin Huang, Quan Deng +3
Customer behavioral data significantly impacts e-commerce search systems. However, in the case of less common queries, the associated behavioral data tends to be sparse and noisy,…