most citedPre-trained Large Language Models for Financial Sentiment Analysis

2 citations · 2 across the 4 of their papers we have counts for

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cs.CL2024

Training Agents with Weakly Supervised Feedback from Large Language Models

Dihong Gong, Pu Lu, Zelong Wang +2

Large Language Models (LLMs) offer a promising basis for creating agents that can tackle complex tasks through iterative environmental interaction. Existing methods either require…

cs.CL2024★ 2 cited

Pre-trained Large Language Models for Financial Sentiment Analysis

Wei Luo, Dihong Gong

Financial sentiment analysis refers to classifying financial text contents into sentiment categories (e.g. positive, negative, and neutral). In this paper, we focus on the classifi…