E-mail: grzegorz.chodak@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Departament of Artificial intelligence

ul. I. Łukasiewicza 3/5, 50-371 Wrocław
building B-4, room 5.07
phone +48 71 320 4206

Office hours

• Monday 9.00-11.00
• Wedneday (EW) 11.00-13.00, (UW) 13.00-15.00

---

Research fields

• e-commerce; social media; logistics management.

---

Recent papers

2016

• Suchacka G., Chodak G., Using association rules to assess purchase probability in online stores, Information Systems and e-Business Management. 2016, vol. 14, nr 54, s. 1-30. (IF 1.723)

2009

• Chodak G., "Genetic algorithms in forecasting of internet shops demand.", Information systems architecture and technology : system analysis in decision aided problems, eds Jerzy Świątek [i in.]. Wrocław : Oficyna Wydawnicza Politechniki Wrocławskiej, 2009. s. 59-68.

Papers in DONA database

---

Selected publications
1	Referat konferencyjny 2025 Grzegorz A Piotrowski, Mateusz Bystroński, Mikołaj Hołysz, Jakub Binkowski, Grzegorz Chodak, Tomasz Kajdanowicz, When will the tokens end? Graph-based forecasting for LLMs output length. W: The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : Proceedings of the Conference - Vol 4: Student Research Workshop, July 28-29, 2025, Vienna, Austria / eds. Jin Zhao, Mingyang Wang, Zhu Liu. Kerrville, TX : Association for Computational Linguistics, cop. 2025. s. 843-848. ISBN: 979-8-89176-254-1 Zasoby:DOIURL
2	Referat konferencyjny 2025 Grzegorz Chodak, Grażyna Suchacka, Stefano Rovetta, Large Language Models for analyzing e-commerce Web server logs. W: Proceedings of the 39th ECMS International Conference on Modelling and Simulation : ECMS 2025, June 24th to 27th, 2025, Catania, Sicily, Italy / eds. Marco Scarpa [i in.]. [B.m.] : ECMS, cop. 2025. s. [1-11]. ISBN: 978-3-937436-86-9; 978-3-937436-85-2 Zasoby:DOIURLSFX
3	Referat konferencyjny 2025 Jakub Wąsala, Bartłomiej Wrzalski, Kornelia Noculak, Yuliia Tarasenko, Oliwer Krupa, Jan Kocoń, Grzegorz Chodak, Enhancing AI face realism: cost-efficient quality improvement in distilled diffusion models with a fully synthetic dataset. W: Computational Science – ICCS 2025 Workshops : 25th International Conference, Singapore, Singapore, July 7-9, 2025 : Proceedings. Pt. 3 / eds. Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang. Cham : Springer Nature Switzerland AG, cop. 2025. s. 119-134. ISBN: 978-3-031-97563-9; 978-3-031-97564-6 Zasoby:DOIURLSFX
4	Monografia 2025 Grzegorz Chodak, Adam Dzidowski, Karolina Małagocka, Grzegorz Chodak, Adam Dzidowski, Karolina Małagocka*. : Cyfrowy marketing. Warszawa: Polskie Wydawnictwo Ekonomiczne, cop. 2025. 250 s. ISBN: 978-83-208-2653-1 Zasoby:URL
5	Referat konferencyjny 2025 Klaudia Błażyczek, Grzegorz Chodak, Application of large language models for search engine optimisation: methodology for assessing the efficiency of content creation. W: Advanced Computing : 14th International Conference, IACC 2024, Bali, Indonesia, December 13–14, 2024 : Revised Selected Papers / eds. Deepak Garg [i in.]. Cham : Springer Nature Switzerland AG, cop. 2025. s. 95-107. ISBN: 978-3-031-84601-4; 978-3-031-84602-1 Zasoby:DOIURLSFX
6	Referat konferencyjny 2025 Mikołaj Hołysz, Mateusz Bystroński, Grzegorz A Piotrowski, Grzegorz Chodak, Tomasz Kajdanowicz, A multi-stage LLM framework for generating realistic synthetic medical datasets. [Atlanta : Association for Information Systems, 2025]. s. 1-5. Zasoby:URLSFX
7	Referat konferencyjny 2025 Darius Zumstein, Grzegorz Chodak, Artificial intelligence in e-commerce – overview of applications, benefits and challenges. W: Digital Management and Artificial Intelligence : Proceedings of the Fourth International Scientific-Practical Conference (ISPC 2024), Hybrid, October 10-11, 2024 / eds. Richard C. Geibel, Shalva Machavariani. Cham : Springer Nature Switzerland, cop. 2025. s. 1-15. ISBN: 978-3-031-88051-3; 978-3-031-88052-0 Zasoby:DOIURL
8	Artykuł 2025 Grzegorz Chodak, Przemysław Kazienko, Wiktoria M Mieleszczenko-Kowszewicz, Erik Cambria, Exploring the commercial trajectories of LLMS: business models and advertising perspectives. IEEE Intelligent Systems. 2025, s. 1-13. ISSN: 1541-1672; 1941-1294 Zasoby:DOIURL
9	Artykuł 2025 Grzegorz Chodak, Dariusz Tworzydło, Aleksander P Szczęsny, Przemysław Kazienko, Oliwier Kaszyca, Kajetan Bilski, Marcin Ł Oleksy, Mateusz Kochanek, Dominika Szydło, Igor Cichecki, Kaja Matuszak, Wiktoria M Mieleszczenko-Kowszewicz, Ewa Dzięcioł, Przemysław Palacz, Tomasz Kajdanowicz, Maciej Piasecki, Jan Kocoń, Typology of image crises using large language models: a novel approach to crisis classification. Journal of Contingencies and Crisis Management. 2025, vol. 33, nr 4, art. e70092, s. 1-20. ISSN: 1468-5973; 0966-0879 Zasoby:DOIURLSFX
10	Monografia 2024 Grzegorz Chodak, Multi-criteria evaluation of assortment and suppliers in e-commerce : Operational efficiency and advantage. Cham: Palgrave Macmillan, cop. 2024. XIX, 167 s. ISBN: 978-3-031-78715-7; 978-3-031-78716-4 (Palgrave Studies in Logistics and Supply Chain Management) Zasoby:DOIURL
11	Monografia 2024 Grzegorz Chodak, The future of e-commerce : Innovations and developments. Cham: Palgrave Macmillan, cop. 2024. 320 s. ISBN: 978-3-031-55224-3; 978-3-031-55225-0 Zasoby:DOIURL
12	Referat konferencyjny 2024 Grzegorz Chodak, Klaudia Błażyczek, Large language models for search engine optimization in e-commerce. W: Advanced Computing : 13th International Conference, IACC 2023, Kolhapur, India, December 15-16, 2023. Revised Selected Papers. Pt I / eds. Deepak Garg [i in.]. Cham : Springer, cop. 2024. s. 333-344. ISBN: 978-3-031-56699-8; 978-3-031-56700-1 Zasoby:DOIURLSFX

All publications