66 citations · 89 across the 5 of their papers we have counts for
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cs.AI2026
Agentic Trading: When LLM Agents Meet Financial Markets
Yihan Xia, Panpan You, Taotao Wang +4
A growing body of work explores how Large Language Models (LLMs) can be embedded in trading systems as agents that perceive market information, retrieve context, reason about decis…
cs.AI2025
Domain adaptation of large language models for geotechnical applications
Lei Fan, Fangxue Liu, Cheng Chen
The rapid advancement of large language models (LLMs) is transforming opportunities in geotechnical engineering, where workflows rely on complex, text-rich data. While general-purp…