2 citations · 6 across the 11 of their papers we have counts for
5 papers · 1 filter
Agent-Based Simulation of a Financial Market with Large Language Models
Ryuji Hashimoto, Takehiro Takayanagi, Masahiro Suzuki +1
In real-world stock markets, certain chart patterns -- such as price declines near historical highs -- cannot be fully explained by fundamentals alone. These phenomena suggest the…
PREFINE: Personalized Story Generation via Simulated User Critics and User-Specific Rubric Generation
Kentaro Ueda, Takehiro Takayanagi
Personalizing story generation to individual users remains a core challenge in natural language generation. Existing approaches typically require explicit user feedback or fine-tun…
Are Generative AI Agents Effective Personalized Financial Advisors?
Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado +2
Large language model-based agents are becoming increasingly popular as a low-cost mechanism to provide personalized, conversational advice, and have demonstrated impressive capabil…
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation
Yuki Tanaka, Ryuji Hashimoto, Takehiro Takayanagi +3
The generation of synthetic financial data is a critical technology in the financial domain, addressing challenges posed by limited data availability. Traditionally, statistical mo…
The Impact and Feasibility of Self-Confidence Shaping for AI-Assisted Decision-Making
Takehiro Takayanagi, Ryuji Hashimoto, Chung-Chi Chen +1
In AI-assisted decision-making, it is crucial but challenging for humans to appropriately rely on AI, especially in high-stakes domains such as finance and healthcare. This paper a…