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Recent years have seen an explosive increase in research on large language models (LLMs), and accompanying public engagement on the topic.
C. E. Shannon, “A mathematical theory of communication,” The Bell system technical journal , vol. 27, no. 3, 1948
1948
Earlier work this paper cites.
J. L. Elman, “Finding structure in time,” Cognitive science , vol. 14, no. 2, 1990
1990
Earlier work this paper cites.
S. Hochreiter and J. Schmidhuber, “Long short-term memory,” Neural Computation , vol. 9, pp. 1735–1780, 1997
1997
Earlier work this paper cites.
D. Novick and S. Sutton, “What is mixed-initiative interaction?” in Proceedings of the AAAI Spring Symposium on Computational Models for Mixed Initiative Interaction , 1997
1997
Earlier work this paper cites.
J. E. Laird and M. van Lent, “Human-level AI’s killer application,” AI Magazine , 2001
2001
Earlier work this paper cites.
A. Tychsen, M. Hitchens, T. Brolund, and M. Kavakli, “The game master,” in Proceedings of the Australasian conference on Interactive entertainment , 2005
2005
Earlier work this paper cites.
A. Drachen, A. Canossa, and G. N. Yannakakis, “Player modeling using self-organization in Tomb Raider: Underworld,” in Proceedings of the IEEE Symposium on Computational Intelligence and Games , 2009
2009
Earlier work this paper cites.
A. Canossa and A. Drachen, “Patterns of play: Play-personas in user-centred game development,” in Proceedings of DiGRA , 2009
2009
Earlier work this paper cites.
J. Dormans, “Adventures in level design: generating missions and spaces for action adventure games,” in Proceedings of the Workshop on Procedural Content Generation in Games , 2010
2010
Earlier work this paper cites.
G. Smith, J. Whitehead, and M. Mateas, “Tanagra: Reactive planning and constraint solving for mixed-initiative level design,” IEEE Transactions on Computational Intelligence and AI in Games , vol. 3, no. 3, 2011
2011
Earlier work this paper cites.
G. N. Yannakakis and J. Togelius, “Experience-driven procedural content generation,” IEEE Transactions on Affective Computing , 2011
2011
Earlier work this paper cites.
C. Fernández-Vara and A. Thomson, “Procedural generation of narrative puzzles in adventure games: The Puzzle-Dice system,” in Proceedings of the Workshop on Procedural Content Generation in Games , 2012
2012
Earlier work this paper cites.
A. M. Smith, E. Andersen, M. Mateas, and Z. Popovic, “A case study of expressively constrainable level design automation tools for a puzzle game,” in Proceedings of the International Conference on the Foundations of Digital Games , 2012
2012
Earlier work this paper cites.
M. S. El-Nasr, A. Drachen, and A. Canossa, Game Analytics: Maximizing the Value of Player Data 2013th Edition . Springer, 2013
2013
Earlier work this paper cites.
A. Canossa, J. B. Martinez, and J. Togelius, “Give me a reason to dig: Minecraft and psychology of motivation,” in Proceedings of the IEEE Conference on Computational Intelligence and Games , 2013
2013
Earlier work this paper cites.
A. Liapis, G. N. Yannakakis, and J. Togelius, “Sentient Sketchbook: Computer-aided game level authoring,” in Proceedings of the International Conference on the Foundations of Digital Games , 2013
2013
Earlier work this paper cites.
A. Liapis, G. N. Yannakakis, and J. Togelius, “Sentient World: Human-based procedural cartography,” in Proceedings of Evolutionary and Biologically Inspired Music, Sound, Art and Design Conference , 2013
2013
Earlier work this paper cites.
A. Liapis, G. N. Yannakakis, and J. Togelius, “Designer modeling for personalized game content creation tools,” in Proceedings of the AIIDE Workshop on Artificial Intelligence & Game Aesthetics , 2013
2013
Earlier work this paper cites.
A. Liapis, “Searching for sentient design tools for game development,” Ph.D. dissertation, Center for Computer Games, IT University of Copenhagen, Copenhagen, Denmark, 2014
2014
Earlier work this paper cites.
G. N. Yannakakis, A. Liapis, and C. Alexopoulos, “Mixed-initiative co-creativity,” in Proceedings of the International Conference on the Foundations of Digital Games , 2014
2014
Earlier work this paper cites.
M. Treanor, A. Zook, M. P. Eladhari, J. Togelius, G. Smith, M. Cook, T. Thompson, B. Magerko, J. Levine, and A. Smith, “AI-based game design patterns,” in Proceedings of the International Conference on the Foundations of Digital Games , 2015
2015
Earlier work this paper cites.
A. Jordanous and B. Keller, “Modelling creativity: Identifying key components through a corpus-based approach,” Public Library of Science , vol. 11, pp. 1–27, 2016
2016
Earlier work this paper cites.
J. Togelius and G. N. Yannakakis, “General general game AI,” in Proceedings of the IEEE Conference on Computational Intelligence and Games , 2016
2016
Earlier work this paper cites.
A. J. Summerville, S. Snodgrass, M. Mateas, and S. Ontanon, “The VGLC: The video game level corpus,” in Proceedings of the FDG Workshop on Procedural Content Generation , 2016
2016
Earlier work this paper cites.
A. Summerville and M. Mateas, “Super Mario as a string: Platformer level generation via LSTMs,” in Proceedings of the Joint Conference of DIGRA and FDG , 2016
2016
Earlier work this paper cites.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. u. Kaiser, and I. Polosukhin, “Attention is all you need,” in Proceedings of the Conference on Neural Information Processing Systems , 2017
2017
Earlier work this paper cites.
H. Warpefelt and H. Verhagen, “A model of non-player character believability,” Journal of Gaming & Virtual Worlds , vol. 9, no. 1, 2017
2017
Earlier work this paper cites.
J. Rowe, E. Lobene, B. Mott, and J. Lester, “Play in the museum: Design and development of a game-based learning exhibit for informal science education,” International Journal of Gaming and Computer-Mediated Simulations , 2017
2017
Earlier work this paper cites.
D. Karavolos, A. Liapis, and G. N. Yannakakis, “Learning the patterns of balance in a multi-player shooter game,” in Proceedings of the FDG Workshop on Procedural Content Generation in Games , 2017
2017
Earlier work this paper cites.
G. N. Yannakakis and J. Togelius, Artificial Intelligence and Games . Springer, 2018
2018
Earlier work this paper cites.
A. Summerville, S. Snodgrass, M. Guzdial, C. Holmgård, A. K. Hoover, A. Isaksen, A. Nealen, and J. Togelius, “Procedural content generation via machine learning (PCGML),” IEEE Transactions on Games , vol. 10, no. 3, 2018
2018
Earlier work this paper cites.
M. P. Eladhari, “Re-tellings: The fourth layer of narrative as an instrument for critique,” in Proceedings of the Interactive Digital Storytelling International Conference , 2018
2018
Earlier work this paper cites.
M. Guzdial, S. Shah, and M. Riedl, “Towards automated let’s play commentary,” in Proceedings of the AIIDE workshop on Experimental AI in Games , 2018
2018
Earlier work this paper cites.
J. Zhu, A. Liapis, S. Risi, R. Bidarra, and G. M. Youngblood, “Explainable AI for designers: A human-centered perspective on mixed-initiative co-creation,” in Proceedings of the IEEE Conference on Computational Intelligence and Games , 2018
2018
Earlier work this paper cites.
B. Jacob, S. Kligys, B. Chen, M. Zhu, M. Tang, A. Howard, H. Adam, and D. Kalenichenko, “Quantization and training of neural networks for efficient integer-arithmetic-only inference,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2018
2018
Earlier work this paper cites.
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, I. Sutskever et al. , “Language models are unsupervised multitask learners,” OpenAI blog , vol. 1, no. 8, 2019
2019
Earlier work this paper cites.
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of deep bidirectional transformers for language understanding,” in Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics , 2019
2019
Earlier work this paper cites.
Z. Zhang, X. Han, Z. Liu, X. Jiang, M. Sun, and Q. Liu, “ERNIE: Enhanced language representation with informative entities,” in Proceedings of the Annual Meeting of the Association for Computational Linguistics , 2019
2019
Earlier work this paper cites.
P. García-Sánchez, A. M. García, P. A. Castillo, and I. J. Pérez, “A bibliometric study of the research area of videogames using Dimensions.ai database,” in Proceedings of the International Conference on Information Technology and Quantitative Management , 2019
2019
Earlier work this paper cites.
J. Urbanek, A. Fan, S. Karamcheti, S. Jain, S. Humeau, E. Dinan, T. Rocktäschel, D. Kiela, A. Szlam, and J. Weston, “Learning to speak and act in a fantasy text adventure game,” in Proceedings of the Empirical Methods in Natural Language Processing Conference and the Natural Language Processing International Joint Conference , 2019
2019
Earlier work this paper cites.
C. Li, S. Gandhi, and B. Harrison, “End-to-end let’s play commentary generation using multi-modal video representations,” in Proceedings of the International Conference on the Foundations of Digital Games , 2019
2019
Earlier work this paper cites.
C. Browne, M. Stephenson, É. Piette, and D. J. N. J. Soemers, “A practical introduction to the Ludii general game system,” in Proceedings of the International Conference on Advances in Computer Games , 2019
2019
Earlier work this paper cites.
2019
Earlier work this paper cites.
M. Kreminski, D. Acharya, N. Junius, E. Oliver, K. Compton, M. Dickinson, C. Focht, S. Mason, S. Mazeika, and N. Wardrip-Fruin, “Cozy mystery construction kit: Prototyping toward an AI-assisted collaborative storytelling mystery game,” in Proceedings of the International Conference on the Foundations of Digital Games , 2019
2019
Earlier work this paper cites.
A. Liapis, “10 years of the PCG workshop: Past and future trends,” in Proceedings of the FDG Workshop on Procedural Content Generation , 2020
2020
Earlier work this paper cites.
2020
Earlier work this paper cites.
M. Ciolino, J. Kalin, and D. Noever, “The Go transformer: Natural language modeling for game play,” in Proceedings of the Artificial Intelligence for Industries International Conference , 2020
2020
Earlier work this paper cites.
2020
Earlier work this paper cites.
S. Yao, R. Rao, M. Hausknecht, and K. Narasimhan, “Keep CALM and explore: Language models for action generation in text-based games,” in Proceedings of the Empirical Methods in Natural Language Processing Conference , 2020
2020
Earlier work this paper cites.
M. Hausknecht, P. Ammanabrolu, M.-A. Côté, and X. Yuan, “Interactive fiction games: A colossal adventure,” in Proceedings of the AAAI Conference on Artificial Intelligence , 2020
2020
Earlier work this paper cites.
2020
Earlier work this paper cites.
M. Hua and R. Raley, “Playing with unicorns: AI dungeon and citizen NLP,” Digital Humanities Quarterly , vol. 14, no. 4, 2020
2020
Earlier work this paper cites.
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W.-t. Yih, T. Rocktäschel, S. Riedel, and D. Kiela, “Retrieval-augmented generation for knowledge-intensive NLP tasks,” in Proceedings of the Conference on Neural Information Processing Systems , 2020
2020
Earlier work this paper cites.
T. Wolf, L. Debut, V. Sanh, J. Chaumond, C. Delangue, A. Moi, P. Cistac, T. Rault, R. Louf, M. Funtowicz, J. Davison, S. Shleifer, P. von Platen, C. Ma, Y. Jernite, J. Plu, C. Xu, T. Le Scao, S. Gugger, M. Drame, Q. Lhoest, and A. Rush, “Transformers: State-of-the-art natural language processing,” in Proceedings of the Conference on Empirical Methods in Natural Language Processing: System Demonstrations , 2020
2020
Earlier work this paper cites.
A. Stöckl, “Watching a language model learning chess,” in Proceedings of the Recent Advances in Natural Language Processing International Conference , 2021
2021
Earlier work this paper cites.
T. Ishigaki, G. Topić, Y. Hamazono, H. Noji, I. Kobayashi, Y. Miyao, and H. Takamura, “Generating racing game commentary from vision, language, and structured data,” in Proceedings of the Natural Language Generation International Conference , 2021
2021
Earlier work this paper cites.
C. Bamford, “Griddly: A platform for AI research in games,” Software Impacts , vol. 8, 2021
2021
Earlier work this paper cites.
P. Migkotzidis and A. Liapis, “SuSketch: Surrogate models of gameplay as a design assistant,” IEEE Transactions on Games , vol. 14, no. 2, 2021
2021
Earlier work this paper cites.
A. Liapis, “Artificial intelligence for designing games,” in The Handbook of Artificial Intelligence and the Arts , P. Machado, J. Romero, and G. Greenfield, Eds. Springer, 2021, in print
2021
Earlier work this paper cites.
J. Thomas, N. Chorakhalikar, A. Dantrey, R. R. Nalla, and P. Mehta, “Automatic classification and reporting of inappropriate language in online applications,” US Patent 20 210 370 188, 2021
2021
Earlier work this paper cites.
S. Toshniwal, S. Wiseman, K. Livescu, and K. Gimpel, “Chess as a testbed for language model state tracking,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 36, no. 10, 2022
2022
Earlier work this paper cites.
2022
Earlier work this paper cites.
H. Chang, H. Zhang, L. Jiang, C. Liu, and W. T. Freeman, “MaskGIT: Masked generative image transformer,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2022
2022
Earlier work this paper cites.
P. Ammanabrolu, L. Jiang, M. Sap, H. Hajishirzi, and Y. Choi, “Aligning to social norms and values in interactive narratives,” in Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , 2022
2022
Cited alongside, same era.
Meta Fundamental AI Research Diplomacy Team (FAIR), A. Bakhtin, N. Brown, E. Dinan, G. Farina, C. Flaherty, D. Fried, A. Goff, J. Gray, H. Hu et al. , “Human-level play in the game of diplomacy by combining language models with strategic reasoning,” Science , vol. 378, no. 6624, 2022
2022
Cited alongside, same era.
A. Mehta, Y. Kunjadiya, A. Kulkarni, and M. Nagar, “Exploring the viability of conversational AI for non-playable characters: A comprehensive survey,” in Proceedings of the International Conference on Recent Trends in Computer Science and Technology , 2022
2022
Cited alongside, same era.
R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer, “High-resolution image synthesis with latent diffusion models,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2022
J. Pfau, A. Liapis, G. N. Yannakakis, and R. Malaka, “Dungeons & Replicants II: Automated game balancing across multiple difficulty dimensions via deep player behavior modeling,” IEEE Transactions on Games , 2023
2023
Later among the works it cites.
S. Johnson-Bey, M. Mateas, and N. Wardrip-Fruin, “Toward using ChatGPT to generate theme-relevant simulated storyworlds,” in Proceedings of the AIIDE Workshop on Experimental Artificial Intelligence in Games , 2023
2023
Later among the works it cites.
S. Al-Nassar, A. Schaap, M. V. D. Zwart, M. Preuss, and M. A. Gómez-Maureira, “QuestVille: Procedural quest generation using NLP models,” in Proceedings of the International Conference on the Foundations of Digital Games , 2023
2023
Later among the works it cites.
V. Kumaran, J. Rowe, B. Mott, and J. Lester, “SceneCraft: Automating interactive narrative scene generation in digital games with large language models,” Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment , 2023
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2022
Cited alongside, same era.
Y. Zakaria, M. Fayek, and M. Hadhoud, “Procedural level generation for Sokoban via deep learning: An experimental study,” IEEE Transactions on Games , vol. 15, no. 1, 2022
2022
Cited alongside, same era.
M. Charity, I. Dave, A. Khalifa, and J. Togelius, “Baba is Y’all 2.0: Design and investigation of a collaborative mixed-initiative system,” IEEE Transactions on Games , 2022
2022
Cited alongside, same era.
D. Melhart, A. Liapis, and G. N. Yannakakis, “The Arousal video Game AnnotatIoN (AGAIN) dataset,” IEEE Transactions on Affective Computing , vol. 13, no. 4, 2022
2022
Cited alongside, same era.
N. M. M. Shafiullah, Z. J. Cui, A. Altanzaya, and L. Pinto, “Behavior transformers: Cloning k k modes with one stone,” in Proceedings of the Neural Information Processing Systems Conference , 2022
2022
Cited alongside, same era.
S. Milani et al. , “Towards solving fuzzy tasks with human feedback: A retrospective of the MineRL BASALT 2022 competition,” in Proceedings of the NeurIPS 2022 Competitions Track , 2022
2022
Cited alongside, same era.
J. A. Rothchild, “Copyright implications of the use of code repositories to train a machine learning model,” Free Software Foundation , 2022
2022
Cited alongside, same era.
U.S. Copyright Office Review Board, “Decision affirming refusal of registration of “A Recent Entrance to Paradise”,” 2022
2022
Cited alongside, same era.
T. Kojima, S. S. Gu, M. Reid, Y. Matsuo, and Y. Iwasawa, “Large language models are zero-shot reasoners,” in Proceedings of the Advances in Neural Information Processing Systems Conference , 2022
2022
Cited alongside, same era.
2023
Later among the works it cites.
P. Manakul, A. Liusie, and M. J. F. Gales, “SelfCheckGPT: Zero-resource black-box hallucination detection for generative large language models,” in Proceedings of the Empirical Methods in Natural Language Processing Conference , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
M. Karpinska and M. Iyyer, “Large language models effectively leverage document-level context for literary translation, but critical errors persist,” in Proceedings of the Machine Translation Conference , 2023
2023
Later among the works it cites.
Z. Gekhman, J. Herzig, R. Aharoni, C. Elkind, and I. Szpektor, “TrueTeacher: Learning factual consistency evaluation with large language models,” in Proceedings of the Empirical Methods in Natural Language Processing Conference , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
Y. Liu, T. Han, S. Ma, J. Zhang, Y. Yang, J. Tian, H. He, A. Li, M. He, Z. Liu, Z. Wu, L. Zhao, D. Zhu, X. Li, N. Qiang, D. Shen, T. Liu, and B. Ge, “Summary of ChatGPT-related research and perspective towards the future of large language models,” Meta-Radiology , vol. 1, no. 2, 2023
2023
Later among the works it cites.
D. Li, A. S. Rawat, M. Zaheer, X. Wang, M. Lukasik, A. Veit, F. Yu, and S. Kumar, “Large language models with controllable working memory,” in Findings of the Association for Computational Linguistics , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
D. Melhart, J. Togelius, B. Mikkelsen, C. Holmgård, and G. N. Yannakakis, “The ethics of AI in games,” IEEE Transactions on Affective Computing , vol. 15, no. 1, 2023
2023
Later among the works it cites.
A. A. Chien, L. Lin, H. Nguyen, V. Rao, T. Sharma, and R. Wijayawardana, “Reducing the carbon impact of generative AI inference (today and in 2035),” in Proceedings of the SCS Workshop on Sustainable Computer Systems , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
——, “Registration decision on “Zarya of the Dawn”,” 2023
2023
Later among the works it cites.
C. E. Lamb and D. G. Brown, “Should we have seen the coming storm? Transformers, society, and CC,” in Proceedings of the International Conference on Computational Creativity , 2023
2023
Later among the works it cites.
Y. Liu, Y. Yao, J.-F. Ton, X. Zhang, R. Guo, H. Cheng, Y. Klochkov, M. F. Taufiq, and H. Li, “Trustworthy LLMs: a survey and guideline for evaluating large language models’ alignment,” in Proceedings of the NeurIPS Workshop on Socially Responsible Language Modelling Research , 2023
2023
Later among the works it cites.
M. Turpin, J. Michael, E. Perez, and S. R. Bowman, “Language models don’t always say what they think: Unfaithful explanations in chain-of-thought prompting,” in Proceedings of the Neural Information Processing Systems Conference , 2023
2023
Later among the works it cites.
S. Frieder, L. Pinchetti, A. Chevalier, R.-R. Griffiths, T. Salvatori, T. Lukasiewicz, P. C. Petersen, and J. Berner, “Mathematical capabilities of ChatGPT,” in Proceedings of the Neural Information Processing Systems Conference , 2023
2023
Later among the works it cites.
M. T. Hicks, J. Humphries, and J. Slater, “Correction: ChatGPT is bullshit,” Ethics and Information Technology , vol. 26, no. 46, 2024
2024
Closest in time.
J. Gwertzman and J. Soslow, “The generative AI revolution in games,” https://a16z.com/the-generative-ai-revolution-in-games/ , 2022, accessed 25 Feb 2024
2024
Closest in time.
2024
Closest in time.
D. Yang, E. Kleinman, and C. Harteveld, “GPT for games: A scoping review (2020-2023),” in Proceedings of the IEEE Conference on Games , 2024
2024
Closest in time.
S. J. Edwards, “Standard: Portable game notation specification and implementation guide,” https://ia802908.us.archive.org/26/items/pgn-standard-1994-03-12/PGN_standard_1994-03-12.txt , 1993, accessed 12 June 2024
2024
Closest in time.
B. Bateni and J. Whitehead, “Language-driven play: Large language models as game-playing agents in Slay the Spire,” in Proceedings of the International Conference on the Foundations of Digital Games , 2024
2024
Closest in time.
GoodAI, “Introducing our work on general-purpose LLM agents,” https://www.goodai.com/introducing-general-purpose-llm-agents/ , 2023, accessed 24 Feb 2024
2024
Closest in time.
L. O’Brien, “How Ubisoft’s New Generative AI Prototype Changes the Narrative for NPCs,” https://news.ubisoft.com/en-us/article/5qXdxhshJBXoanFZApdG3L/how-ubisofts-new-generative-ai-prototype-changes-the-narrative-for-npcs , 2024, accessed 12 June 2024
2024
Closest in time.
P. Maas, F. Carey, C. Wheeler, E. Saatchi, P. Billington, and J. Yaffa Shamash, “To infinity and beyond: SHOW-1 and Showrunner agents in multi-agent simulations,” https://fablestudio.github.io/showrunner-agents/ , 2023, accessed 27 Feb 2024
2024
Closest in time.
S. Hu, Z. Huang, C. Hu, and J. Liu, “3D building generation in Minecraft via large language models,” in Proceedings of the IEEE Conference on Games , 2024
2024
Closest in time.
T. Rist, “Using a large language model to turn explorations of virtual 3d-worlds into interactive narrative experiences,” in Proceedings of the IEEE Conference on Games , 2024
2024
Closest in time.
2024
Closest in time.
N. Rasajski, C. Trivedi, K. Makantasis, A. Liapis, and G. N. Yannakakis, “BehAVE: Behaviour alignment of video game encodings,” in Proceedings of the ECCV Workshop on Computer Vision For Videogames , 2024
2024
Closest in time.
X. You, P. Taveekitworachai, S. Chen, M. C. Gursesli, X. Li, Y. Xia, and R. Thawonmas, “Dungeons, Dragons, and Emotions: A preliminary study of player sentiment in LLM-driven TTRPGs,” in Proceedings of the International Conference on the Foundations of Digital Games , 2024
2024
Closest in time.
T. Litchfield, “This browser-based ‘endless crafting game’ starts you off with fire and water, but it quickly escalates to God, the Big Bang, and ‘Yin-Yoda’,” https://www.pcgamer.com/this-browser-based-endless-crafting-game-starts-you-off-with-fire-and-water-but-it-quickly-escalates-to-god-the-big-bang-and-yin-yoda/ , 2024, accessed 28 Feburary 2024
2024
Closest in time.
S. Sudhakaran, M. González-Duque, M. Freiberger, C. Glanois, E. Najarro, and S. Risi, “MarioGPT: Open-ended text2level generation through large language models,” Advances in Neural Information Processing Systems , vol. 36, 2024
2024
Closest in time.
B. Lyman, A. Ebrahimi, J. E. C. III, S. Chan, C. Barney, and B. D. Schutter, “Cardistry: Exploring a GPT model workflow as an adapted method of gaminiscing,” in Proceedings of the International Conference on the Foundations of Digital Games , 2024
2024
Closest in time.
J. Betker, G. Goh, L. Jing, T. Brooks, J. Wang, L. Li, L. Ouyang, J. Zhuang, J. Lee, Y. Guo, W. Manassra, P. Dhariwal, C. Chu, YunxinJiao, and A. Ramesh, “Improving image generation with better captions,” https://cdn.openai.com/papers/dall-e-3.pdf , 2023, accessed 13 Jun 2024
2024
Closest in time.
2024
Closest in time.
M. Zammit, A. Liapis, and G. N. Yannakakis, “CrawLLM: Theming games with large language models,” in Proceedings of the IEEE Conference on Games , 2024
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
R. Barth, “The convergence of AI and creativity: Introducing Ghostwriter,” https://news.ubisoft.com/en-us/article/7Cm07zbBGy4Xml6WgYi25d/the-convergence-of-ai-and-creativity-introducing-ghostwriter , accessed 12 June 2024
2024
Closest in time.
A. Anjum, Y. Li, N. Law, M. Charity, and J. Togelius, “The ink splotch effect: A case study on ChatGPT as a co-creative game designer,” in Proceedings of the International Conference on the Foundations of Digital Games , 2024
2024
Closest in time.
L. W. Stephen Peacock, “Unravelling Project AVA: Insights from our research on GenAI in game development (presented by Keywords Studios),” https://www.gdcvault.com/play/1034841/Unravelling-Project-AVA-Insights-from , 2024, accessed 13 Jun 2024
2024
Closest in time.
R. Gallotta, A. Liapis, and G. N. Yannakakis, “LLMaker: A game level design interface using (only) natural language,” in Proceedings of the IEEE Conference on Games , 2024
2024
Closest in time.
——, “Consistent game content creation via function calling for large language models,” in Proceedings of the IEEE Conference on Games , 2024
2024
Closest in time.
The AlphaStar team, “AlphaStar: Mastering the real-time strategy game StarCraft II,” https://deepmind.google/discover/blog/alphastar-mastering-the-real-time-strategy-game-starcraft-ii/ , 2019, accessed 10 July 2024
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
Valve Corporation, “Steam Hardware & Software Survey: May 2024,” https://store.steampowered.com/hwsurvey/steam-hardware-software-survey-welcome-to-steam , accessed 12 June 2024
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
Free Law Project, “Authors Guild v. OpenAI Inc.” https://www.courtlistener.com/docket/67810584/authors-guild-v-openai-inc/ , accessed 27 Feb 2024
2024
Closest in time.
HackerNews, “Github Copilot,” https://news.ycombinator.com/item?id=27676266 , 2021, accessed 27 Feb 2024
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
A. M. Karkaj, M. J. Nelson, I. Koutis, and A. K. Hoover, “Prompt wrangling: On replication and generalization in large language models for PCG levels,” in Proceedings of the International Conference on the Foundations of Digital Games , 2024
2024
Closest in time.