12 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Mamba Hawkes Process for Event Sequence Modeling
Anningzhe Gao, Yuyang Shen, Shan Dai +3
Modeling asynchronous event sequences is crucial in numerous real-world applications such as healthcare monitoring, financial transaction analysis, and so on. Traditional temporal…
cs.AI2024★ 1 cited
LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages
Xuhan Huang, Qingning Shen, Yan Hu +2
Large Language Models (LLMs) have demonstrated strong performance across various natural language processing tasks, yet their proficiency in mathematical reasoning remains a key ch…
cs.CL2024★ 12 cited
Apollo: A Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People
Xidong Wang, Nuo Chen, Junyin Chen +9
Despite the vast repository of global medical knowledge predominantly being in English, local languages are crucial for delivering tailored healthcare services, particularly in are…