Enhancement of Angry Birds Level Generation from Sketches Using Cycle-Consistent Adversarial Networks. - Mury F. Dewantoro; Febri Abdullah; Pujana Paliyawan; Ruck Thawonmas; Fitra Abdurrachman Bachtiar (GCCE, 2020)

Science Birds Gameplay With a Smile Interface to Promote the Spectator's Emotion. - Febri Abdullah; Mury F. Dewantoro; Ruck Thawonmas; Fitra Abdurrachman Bachtiar (CoG, 2022)

ChatGPT4PCG Competition: Character-like Level Generation for Science Birds. - Pittawat Taveekitworachai; Febri Abdullah; Mury F. Dewantoro; Ruck Thawonmas; Julian Togelius; Jochen Renz (CoG, 2023)

The Chronicles of ChatGPT: Generating and Evaluating Visual Novel Narratives on Climate Change Through ChatGPT. - Mustafa Can Gursesli; Pittawat Taveekitworachai; Febri Abdullah; Mury F. Dewantoro; Antonio Lanatà; Andrea Guazzini; Van Khôi Lê; Adrien Villars; Ruck Thawonmas (ICIDS (2), 2023)

What Is Waiting for Us at the End? Inherent Biases of Game Story Endings in Large Language Models. - Pittawat Taveekitworachai; Febri Abdullah; Mustafa Can Gursesli; Mury F. Dewantoro; Siyuan Chen; Antonio Lanatà; Andrea Guazzini; Ruck Thawonmas (ICIDS (2), 2023)

Breaking Bad: Unraveling Influences and Risks of User Inputs to ChatGPT for Game Story Generation. - Pittawat Taveekitworachai; Febri Abdullah; Mustafa Can Gursesli; Mury F. Dewantoro; Siyuan Chen; Antonio Lanatà; Andrea Guazzini; Ruck Thawonmas (ICIDS (2), 2023)

ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation. - Pittawat Taveekitworachai; Febri Abdullah; Mury F. Dewantoro; Yi Xia; Pratch Suntichaikul; Ruck Thawonmas; Julian Togelius; Jochen Renz (CoG, 2024)

The First ChatGPT4PCG Competition. - Febri Abdullah; Pittawat Taveekitworachai; Mury F. Dewantoro; Ruck Thawonmas; Julian Togelius; Jochen Renz (IEEE Trans. Games, 2024)

Can Multimodal LLMs Reason About Stability? An Exploratory Study with Insights from the LLMs4PCG Challenge. - Mury F. Dewantoro; Febri Abdullah; Yi Xia; Ibrahim Khan; Ruck Thawonmas; Wenwen Ouyang (CoG, 2025)

Angry Birds Level Generation to Achieve Diverse Results Having Controllable Similarity to an Example. - Mury F. Dewantoro; Febri Abdullah; Ruck Thawonmas (J. Inf. Process., 2025)