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pro vyhledávání: '"NASIR, Muhammad"'
Large language models (LLMs) have recently demonstrated great success in generating and understanding natural language. While they have also shown potential beyond the domain of natural language, it remains an open question as to what extent and in w
Externí odkaz:
http://arxiv.org/abs/2410.07765
Autor:
Nasir, Muhammad
Objective: This research explores using crowdsourcing for software usability evaluation. Background: Usability studies are essential for designing user-friendly software, but traditional methods are often costly and time-consuming. Crowdsourcing offe
Externí odkaz:
http://arxiv.org/abs/2408.06955
Large Language Models (LLMs) have proven their worth across a diverse spectrum of disciplines. LLMs have shown great potential in Procedural Content Generation (PCG) as well, but directly generating a level through a pre-trained LLM is still challeng
Externí odkaz:
http://arxiv.org/abs/2405.06686
Large Language Models (LLMs) have emerged as powerful tools capable of accomplishing a broad spectrum of tasks. Their abilities span numerous areas, and one area where they have made a significant impact is in the domain of code generation. Here, we
Externí odkaz:
http://arxiv.org/abs/2306.01102
Autor:
Nasir, Muhammad U, Togelius, Julian
Large Language Models (LLMs) have proven to be useful tools in various domains outside of the field of their inception, which was natural language processing. In this study, we provide practical directions on how to use LLMs to generate 2D-game rooms
Externí odkaz:
http://arxiv.org/abs/2305.18243
Publikováno v:
FDG 2023: Proceedings of the 18th International Conference on the Foundations of Digital Games
Large Language Models (LLMs) are powerful tools, capable of leveraging their training on natural language to write stories, generate code, and answer questions. But can they generate functional video game levels? Game levels, with their complex funct
Externí odkaz:
http://arxiv.org/abs/2302.05817
Autor:
Beukman, Michael, Fokam, Manuel, Kruger, Marcel, Axelrod, Guy, Nasir, Muhammad, Ingram, Branden, Rosman, Benjamin, James, Steven
Procedural content generation (PCG) is a growing field, with numerous applications in the video game industry and great potential to help create better games at a fraction of the cost of manual creation. However, much of the work in PCG is focused on
Externí odkaz:
http://arxiv.org/abs/2302.01561
Autor:
Nasir, Muhammad1, Bibi, Zainab2, Amir, Sohail3 dr.sohailamir@gmail.com, Pirtufail1, Ahmad, Fayyaz1, Aurangzeb4
Publikováno v:
Professional Medical Journal. Oct2024, Vol. 31 Issue 10, p1439-1444. 6p.