1 citations · 1 across the 2 of their papers we have counts for
3 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★ 1 cited
Towards Robustness Analysis of E-Commerce Ranking System
Ningfei Wang, Yupin Huang, Han Cheng +3
Information retrieval (IR) is a pivotal component in various applications. Recent advances in machine learning (ML) have enabled the integration of ML algorithms into IR, particula…
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,…