1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2025
Reflect then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion
Dong Zhao, Yadong Wang, Xiang Chen +6
Large Language Models (LLMs) show remarkable potential for few-shot information extraction (IE), yet their performance is highly sensitive to the choice of in-context examples. Con…
q-fin.CP2024★ 1 cited
A Review of Reinforcement Learning in Financial Applications
Yahui Bai, Yuhe Gao, Runzhe Wan +2
In recent years, there has been a growing trend of applying Reinforcement Learning (RL) in financial applications. This approach has shown great potential to solve decision-making…
cs.CL2024
Poisoned LangChain: Jailbreak LLMs by LangChain
Ziqiu Wang, Jun Liu, Shengkai Zhang +1
With the development of natural language processing (NLP), large language models (LLMs) are becoming increasingly popular. LLMs are integrating more into everyday life, raising pub…