3 citations · 4 across the 6 of their papers we have counts for
6 papers
Differentiable Geometric Indexing for End-to-End Generative Retrieval
Xujing Wang, Yufeng Chen, Boxuan Zhang +7
Generative Retrieval (GR) has emerged as a promising paradigm to unify indexing and search within a single probabilistic framework. However, existing approaches suffer from two int…
Thinking Broad, Acting Fast: Latent Reasoning Distillation from Multi-Perspective Chain-of-Thought for E-Commerce Relevance
Baopu Qiu, Hao Chen, Yuanrong Wu +4
Effective relevance modeling is crucial for e-commerce search, as it aligns search results with user intent and enhances customer experience. Recent work has leveraged large langua…
Preference as Reward, Maximum Preference Optimization with Importance Sampling
Zaifan Jiang, Xing Huang, Chao Wei
Preference learning is a key technology for aligning language models with human values. Reinforcement Learning from Human Feedback (RLHF) is a model-based algorithm to optimize pre…
ACE-BERT: Adversarial Cross-modal Enhanced BERT for E-commerce Retrieval
Boxuan Zhang, Chao Wei, Yan Jin +1
Nowadays on E-commerce platforms, products are presented to the customers with multiple modalities. These multiple modalities are significant for a retrieval system while providing…
Optimal Delivery with Budget Constraint in E-Commerce Advertising
Chao Wei, Weiru Zhang, Shengjie Sun +4
Online advertising in E-commerce platforms provides sellers an opportunity to achieve potential audiences with different target goals. Ad serving systems (like display and search a…
Important Attribute Identification in Knowledge Graph
Shengjie Sun, Dong Yang, Hongchun Zhang +4
The knowledge graph(KG) composed of entities with their descriptions and attributes, and relationship between entities, is finding more and more application scenarios in various na…