activity
20232025
most cited"Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets

3 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2025

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…

cs.IR2025

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…

cs.CL2024★ 1 cited

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…

cs.CY2024

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…

cs.IR2024

Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines

Lijia Ma, Xingchen Xu, Yong Tan

In the domain of digital information dissemination, search engines act as pivotal conduits linking information seekers with providers. The advent of chat-based search engines utili…

cs.AI2023★ 2 cited

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…

cs.AI2023★ 3 cited

"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…