Fully Open Source Moxin-7B Technical Report

1 code implementation • 8 Dec 2024 • Pu Zhao, Xuan Shen, Zhenglun Kong, Yixin Shen, Sung-En Chang, Timothy Rupprecht, Lei Lu, Enfu Nan, Changdi Yang, Yumei He, Xingchen Xu, Yu Huang, Wei Wang, Yue Chen, Yong He, Yanzhi Wang

Recently, Large Language Models (LLMs) have undergone a significant transformation, marked by a rapid rise in both their popularity and capabilities.

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

no code implementations • 29 Feb 2024 • Lijia Ma, Xingchen Xu, Yong Tan

To this end, an extensive dataset has been compiled through engagements with New Bing, documenting the websites it cites alongside those listed by the conventional search engine.

RAG Retrieval

Algorithmic Collusion or Competition: the Role of Platforms' Recommender Systems

no code implementations • 25 Sep 2023 • Xingchen Xu, Stephanie Lee, Yong Tan

Recent scholarly work has extensively examined the phenomenon of algorithmic collusion driven by AI-enabled pricing algorithms.

Recommendation Systems

"Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets

no code implementations • 9 Aug 2023 • Jin Liu, Xingchen Xu, Xi Nan, Yongjun Li, Yong Tan

Large Language Model (LLM) based generative AI, such as ChatGPT, is considered the first generation of Artificial General Intelligence (AGI), exhibiting zero-shot learning abilities for a wide variety of downstream tasks.

Language Modelling Large Language Model +2