Takehiro Takayanagi

Orcid: 0009-0000-6467-8222

According to our database1, Takehiro Takayanagi authored at least 15 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2025
PREFINE: Personalized Story Generation via Simulated User Critics and User-Specific Rubric Generation.
CoRR, October, 2025

Agent-Based Simulation of a Financial Market with Large Language Models.
CoRR, October, 2025

The Impact and Feasibility of Self-Confidence Shaping for AI-Assisted Decision-Making.
CoRR, February, 2025

Are Generative AI Agents Effective Personalized Financial Advisors?
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Can GPT-4 Sway Experts' Investment Decisions?
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

FinPersona: An LLM-Driven Conversational Agent for Personalized Financial Advising.
Proceedings of the Advances in Information Retrieval, 2025

2024
Incorporating Domain-Specific Traits into Personality-Aware Recommendations for Financial Applications.
New Gener. Comput., November, 2024

Beyond Turing Test: Can GPT-4 Sway Experts' Decisions?
CoRR, 2024

Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
Context-Aware Stock Recommendations with Stocks' Characteristics and Investors' Traits.
IEICE Trans. Inf. Syst., October, 2023

Personalized Stock Recommendation with Investors' Attention and Contextual Information.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Personalized Dynamic Recommender System for Investors.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Harnessing Behavioral Traits to Enhance Financial Stock Recommender Systems: Tackling the User Cold Start Problem.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
SETN: Stock Embedding Enhanced with Textual and Network Information.
Proceedings of the IEEE International Conference on Big Data, 2022


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