7 citations · 11 across the 6 of their papers we have counts for
6 papers
Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System
Fang Zeng, Zhiliang Lyu, Quanzheng Li +1
This study introduces "RadCouncil," a multi-agent Large Language Model (LLM) framework designed to enhance the generation of impressions in radiology reports from the finding secti…
Scalable Deep Metric Learning on Attributed Graphs
Xiang Li, Gagan Agrawal, Ruoming Jin +1
We consider the problem of constructing embeddings of large attributed graphs and supporting multiple downstream learning tasks. We develop a graph embedding method, which is based…
Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent
Xingwu Sun, Yanfeng Chen, Yiqing Huang +105
In this paper, we introduce Hunyuan-Large, which is currently the largest open-source Transformer-based mixture of experts model, with a total of 389 billion parameters and 52 bill…
Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questions
Xiang Li, Haoran Tang, Siyu Chen +3
We measure the performance of in-context learning as a function of task novelty and difficulty for open and closed questions. For that purpose, we created a novel benchmark consist…
Evaluating and Improving Continual Learning in Spoken Language Understanding
Muqiao Yang, Xiang Li, Umberto Cappellazzo +2
Continual learning has emerged as an increasingly important challenge across various tasks, including Spoken Language Understanding (SLU). In SLU, its objective is to effectively h…
The σlaw of evolutionary dynamics in community-structured populations
Changbing Tang, Xiang Li, Lang Cao +1
Evolutionary game dynamics in finite populations provides a new framework to understand the selection of traits with frequency-dependent fitness. Recently, a simple but fundamental…