6 papers
GADFA: Generator-Assisted Decision-Focused Approach for Opinion Expressing Timing Identification
Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi +2
The advancement of text generation models has granted us the capability to produce coherent and convincing text on demand. Yet, in real-life circumstances, individuals do not conti…
Distilling Analysis from Generative Models for Investment Decisions
Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi +1
Professionals' decisions are the focus of every field. For example, politicians' decisions will influence the future of the country, and stock analysts' decisions will impact the m…
Hierarchical Organization Simulacra in the Investment Sector
Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi +1
This paper explores designing artificial organizations with professional behavior in investments using a multi-agent simulation. The method mimics hierarchical decision-making in i…
Enhancing Financial Sentiment Analysis with Expert-Designed Hint
Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi +1
This paper investigates the role of expert-designed hint in enhancing sentiment analysis on financial social media posts. We explore the capability of large language models (LLMs)…
Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen +3
In the era of rapid Internet and social media platform development, individuals readily share their viewpoints online. The overwhelming quantity of these posts renders comprehensiv…
FinGen: A Dataset for Argument Generation in Finance
Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi +1
Thinking about the future is one of the important activities that people do in daily life. Futurists also pay a lot of effort into figuring out possible scenarios for the future. W…