Final year PhD student at the University of Tokyo, Graduate School of Engineering, Izumi-lab, Japan

Research Assistant at Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan

Email: takayanagi-takehiro590 (at) g.ecc.u-tokyo.ac.jp (change (at) to @)

Publication

Peer-Reviewed Conference Papers 

2025

1. Takehiro Takayanagi, Hiroya Takamura, Kiyoshi Izumi, and Chung-Chi Chen, "Can GPT-4 Sway Experts' Investment Decisions?" 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL25)
   Paper

2. Takehiro Takayanagi, Masahiro Suzuki, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, and Iadh Ounis, "FinPersona: An LLM-Driven Conversational Agent for Personalized Financial Advising," 2025 European Conference on Information Retrieval (ECIR25) 

2024

3. Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi, Hiroki Sakaji, and Kiyoshi Izumi, "Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis," 2024 IEEE International Conference on Big Data (Big Data24).
   Paper 

2023

4. Takehiro Takayanagi, and Kiyoshi Izumi, "Harnessing Behavioral Traits to Enhance Financial Stock Recommender Systems: Tackling the User Cold Start Problem," 2023 IEEE International Conference on Big Data (Big Data23).
   Paper 

5. Takehiro Takayanagi, Chung-Chi Chen, and Kiyoshi Izumi, "Personalized Dynamic Recommender System for Investors," The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23). (Acceptance Rate: 25.12%, 154/613).
   Paper  Resource

6. Takehiro Takayanagi, Kiyoshi Izumi, Atsuo Kato, Naoyuki Tsunedomi, and Yukina Abe, "Personalized Stock Recommendation with Investors’ Attention and Contextual Information," The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23).
   ACM

2022

7. Takehiro Takayanagi, Hiroki Sakaji, and Kiyoshi Izumi, "SETN: Stock Embedding Enhanced with Textual and Network Information," 2022 IEEE International Conference on Big Data (Big Data'22).
   IEEE

Journal Articles

8. Takehiro Takayanagi, and Kiyoshi Izumi, “Context-Aware Stock Recommendations with Stock’s Characteristics and Investors' Traits, ” 2023 IEICE TRANSACTIONS on Information and Systems.
   IEICE

9. Takehiro Takayanagi, and Kiyoshi Izumi, ”Incorporating Domain-Specific Traits into Personality-Aware Recommendations for Financial Applications, ” New Gener. Comput.

Talks

10. "Empirical and Experimental Approaches to Understanding Investor Decision-Making in Financial Markets," Invited Talk at Glasgow IR Seminar, October 2024, Glasgow, Scotland, United Kingdom.

11. "AI Technology for Investor Support: Progress and Future Outlook," Invited Talk at MPT Forum, June 2024, Tokyo, Japan.

Workshop Papers

12. Takehiro Takayanagi, Bruno Charron,  and Marco Visentini-Scarzanella, "Frogs into princes: A generative model to understand the success of product descriptions," The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING'24), the Seventh Workshop on e-Commerce and NLP.

13. Takehiro Takayanagi, "Information Retrieval in Financial Documents," 2022 4th Conference on Automated Knowledge Base Construction (AKBC) Workshop, Knowledge Graphs in Finance and Economics.

Domestic Conference (Non-Refereed)

14. Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi, Hiroki Sakaji, and Kiyoshi Izumi, "Causal Text Mining in the Era of Large Language Models," 2023 18th Symposium of Young Researcher Association for NLP Studies (YANS).

15. Takehiro Takayanagi, Hiroki Sakaji, and Kiyoshi Izumi, "Incorporating Domain-Specific Traits into Personality-Aware Recommendations for Financial Applications", 2023 Proceedings of the Annual Conference of JSAI.
    Paper

16. Takehiro Takayanagi, Hiroki Sakaji, and Kiyoshi Izumi, "Personalization of Stock Recommendations Considering Stock Characteristics and Investor Traits "(In Japanese), 2023 29th Annual Meeting of the Association for Natural Language Processing (NLP).
    Paper

17. Takehiro Takayanagi, Hiroki Sakaji, and Kiyoshi Izumi, "Proposal of a Thematic Stock Extraction Method Using Individual Stock Information and Inter-stock Information" (In Japanese), 2022 Proceedings of the Annual Conference of JSAI.
    Paper

18. Takehiro Takayanagi, Hiroki Sakaji, and Kiyoshi Izumi, "Proposal of a Stock Embedding Method Considering Individual Stock Information and Inter-stock Information" (In Japanese), 2022 28th Annual Meeting of the Association for Natural Language Processing (NLP).
    Paper

NEWS

2025

• Awarded the Excellence Award at the 31st Annual Conference of Natural Language Processing (ANLP), 2025.

• Awarded the CyberAgent Award at the 31st Annual Conference of Natural Language Processing (ANLP), 2025.

• A research paper was accepted at the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL25).

• A research paper was accepted at the 2025 European Conference on Information Retrieval (ECIR25).

2024

• A research paper was accepted at the 2024 IEEE International Conference on Big Data (BigData'24).

• A research paper was accepted at the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING'24), the Seventh Workshop on e-Commerce and NLP.

• Delivered an invited talk at the Glasgow IR Seminar in Glasgow, Scotland, United Kingdom.

• Delivered an invited talk at the MPT Forum in Tokyo, Japan.

• Awarded the Excellence Research Award at GPIF Finance Awards for Students.
  https://www.t.u-tokyo.ac.jp/en/topics/tp2024-04-10-001

2023

• 11/8 A research paper was accepted at the 2023 IEEE International Conference on Big Data (BigData'23).

• 11/30 Was selected for the Amazon Science Fellow Program and completed a three-month internship.

• 7/20 The research paper produced in collaboration with Daiwa Securities Group has been accepted for presentation at the SIGIR 2023 conference. This accomplishment has been recognized with a feature in a recent press release.
  https://www.t.u-tokyo.ac.jp/press/pr2023-07-20-001
  https://www.nikkei.com/nkd/disclosure/tdnr/20230720524605/

• 7/19 Awarded the Excellence Award at the 37th Annual Conference of the Japanese Society for Artificial Intelligence, 2023.
  https://www.t.u-tokyo.ac.jp/en/topics/tp2023-11-28-001

• 4/5 Two papers were accepted at The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23).

• 4/1 Enrolled in the Doctoral Program at the Graduate School of Engineering, The University of Tokyo.

2022

• 11/2 A paper was accepted for presentation at the 2022 IEEE International Conference on Big Data (BigData'22).

• 8/30 A paper was accepted for presentation at the 2022 AKBC 2022 Workshop, Knowledge Graphs in Finance and Economics (AKBC'22).

• 7/ 28 A press release was issued regarding the initiation of a joint research project focused on developing a stock recommendation system that incorporates individual characteristics and interest in impact investing.
  https://www.t.u-tokyo.ac.jp/press/pr2022-07-28-001