3 citations · 3 across the 1 of their papers we have counts for
6 papers
"Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets
Jin Liu, Xingchen Xu, Xi Nan +2
Large Language Model (LLM)-based generative AI systems are general-purpose tools capable of augmenting or even automating a wide range of job functions, positioning them to reshape…
Learning to Adopt Generative AI
Lijia Ma, Xingchen Xu, Yumei He +1
Recent advancements in generative AI, such as ChatGPT, have dramatically transformed how people access information. Despite its powerful capabilities, the benefits it provides may…
Open-Source Multimodal Moxin Models with Moxin-VLM and Moxin-VLA
Pu Zhao, Arash Akbari, Xuan Shen +16
Recently, Large Language Models (LLMs) have undergone a significant transformation, marked by a rapid rise in both their popularity and capabilities. Leading this evolution are pro…
When Content is Goliath and Algorithm is David: The Style and Semantic Effects of Generative Search Engine
Lijia Ma, Juan Qin, Xingchen Xu +1
Generative search engines (GEs) leverage large language models (LLMs) to deliver AI-generated summaries with website citations, establishing novel traffic acquisition channels whil…
7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement
Pu Zhao, Xuan Shen, Zhenglun Kong +16
Recently, Large Language Models (LLMs) have undergone a significant transformation, marked by a rapid rise in both their popularity and capabilities. Leading this evolution are pro…
Algorithmic Collusion or Competition: the Role of Platforms' Recommender Systems
Xingchen Xu, Stephanie Lee, Yong Tan
Recent scholarly work has extensively examined the phenomenon of algorithmic collusion driven by AI-enabled pricing algorithms. However, online platforms commonly deploy recommende…