24 citations · 36 across the 21 of their papers we have counts for
5 papers · 1 filter
Multiverse of Greatness: Generating Story Branches with LLMs
Pittawat Taveekitworachai, Chollakorn Nimpattanavong, Mustafa Can Gursesli +3
This paper presents Dynamic Context Prompting/Programming (DCP/P), a novel framework for interacting with LLMs to generate graph-based content with a dynamic context window history…
Enhanced DareFightingICE Competitions: Sound Design and AI Competitions
Ibrahim Khan, Chollakorn Nimpattanavong, Thai Van Nguyen +2
This paper presents a new and improved DareFightingICE platform, a fighting game platform with a focus on visually impaired players (VIPs), in the Unity game engine. It also introd…
Fighting Game Adaptive Background Music for Improved Gameplay
Ibrahim Khan, Thai Van Nguyen, Chollakorn Nimpattanavong +1
This paper presents our work to enhance the background music (BGM) in DareFightingICE by adding adaptive features. The adaptive BGM consists of three different categories of instru…
ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation
Pittawat Taveekitworachai, Febri Abdullah, Mury F. Dewantoro +5
This paper presents the second ChatGPT4PCG competition at the 2024 IEEE Conference on Games. In this edition of the competition, we follow the first edition, but make several impro…
Large Language Models are Null-Shot Learners
Pittawat Taveekitworachai, Febri Abdullah, Ruck Thawonmas
This paper presents null-shot prompting. Null-shot prompting exploits hallucination in large language models (LLMs) by instructing LLMs to utilize information from the "Examples" s…