11 citations · 18 across the 2 of their papers we have counts for
2 papers
q-fin.CP2023★ 7 cited
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Yangyang Yu, Haohang Li, Zhi Chen +6
Recent advancements in Large Language Models (LLMs) have exhibited notable efficacy in question-answering (QA) tasks across diverse domains. Their prowess in integrating extensive…
q-fin.PM2023★ 11 cited
TradingGPT: Multi-Agent System with Layered Memory and Distinct Characters for Enhanced Financial Trading Performance
Yang Li, Yangyang Yu, Haohang Li +2
Large Language Models (LLMs), prominently highlighted by the recent evolution in the Generative Pre-trained Transformers (GPT) series, have displayed significant prowess across var…