Publications (15)
Successive Rank-One Approximations for Nearly Orthogonally Decomposable Symmetric Tensors
Cun Mu, Daniel Hsu, Donald Goldfarb
Many idealized problems in signal processing, machine learning and statistics can be reduced to the problem of finding the symmetric canonical decomposition of an underlying symmet…
Long or Short or Both? An Exploration on Lookback Time Windows of Behavioral Features in Product Search Ranking
Qi Liu, Atul Singh, Jingbo Liu +3
Customer shopping behavioral features are core to product search ranking models in eCommerce. In this paper, we investigate the effect of lookback time windows when aggregating the…
Scaling and Stabilizing Large-Scale Embedding-Based Retrieval
Zhen Yang, Juexin Lin, Hongwei Shang +8
Embedding-based retrieval (EBR) is foundational to large-scale e-commerce search, yet its effectiveness is often constrained by the quality of training signals and the representati…
An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space
Cun Mu, Binwei Yang, Zheng Yan
In this paper, we compare the performances of FAISS and FENSHSES on nearest neighbor search in Hamming space--a fundamental task with ubiquitous applications in nowadays eCommerce.…
A Machine Learning Approach to Shipping Box Design
Guang Yang, Cun Mu
Having the right assortment of shipping boxes in the fulfillment warehouse to pack and ship customer's online orders is an indispensable and integral part of nowadays eCommerce bus…
LLM360: Towards Fully Transparent Open-Source LLMs
Zhengzhong Liu, Aurick Qiao, Willie Neiswanger +25
The recent surge in open-source Large Language Models (LLMs), such as LLaMA, Falcon, and Mistral, provides diverse options for AI practitioners and researchers. However, most LLMs…