40 citations · 59 across the 5 of their papers we have counts for
5 papers
APeB: Benchmarking Personalization Ability of Large Language Model Agents
Garry Yang, Zizhe Chen, Xinru Chen +9
LLM-powered agents struggle with personalization when users issue raw, underspecified queries. In this setting, agents must infer latent intent, extract preferences from noisy inte…
Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions
Hui Yang, Sifu Yue, Yunzhong He
Auto-GPT is an autonomous agent that leverages recent advancements in adapting Large Language Models (LLMs) for decision-making tasks. While there has been a growing interest in Au…
HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace
Yunzhong He, Cong Zhang, Ruoyan Kong +5
Query categorization at customer-to-customer e-commerce platforms like Facebook Marketplace is challenging due to the vagueness of search intent, noise in real-world data, and imba…
Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace
Yunzhong He, Yuxin Tian, Mengjiao Wang +7
Embedding-based Retrieval (EBR) in e-commerce search is a powerful search retrieval technique to address semantic matches between search queries and products. However, commercial s…
A Social Search Model for Large Scale Social Networks
Yunzhong He, Wenyuan Li, Liang-Wei Chen +4
With the rise of social networks, information on the internet is no longer solely organized by web pages. Rather, content is generated and shared among users and organized around t…