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20212026
most citedLarge Language Models and Games: A Survey and Roadmap

122 citations · 172 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Causal Supervision of Attention for Affective Behaviour Analysis

Nemanja Rašajski, Konstantinos Makantasis, Antonios Liapis +1

The \textit{11th Affective Behaviour Analysis in-the-wild Competition} includes the Multi-Task Learning Challenge, where participants develop a unified framework for Valence-Arousa…

cs.AI2025

The Procedural Content Generation Benchmark: An Open-source Testbed for Generative Challenges in Games

Ahmed Khalifa, Roberto Gallotta, Matthew Barthet +3

This paper introduces the Procedural Content Generation Benchmark for evaluating generative algorithms on different game content creation tasks. The benchmark comes with 12 game-re…

cs.SE2025

FREYR: A Framework for Recognizing and Executing Your Requests

Roberto Gallotta, Antonios Liapis, Georgios N. Yannakakis

Large language models excel as conversational agents, but their capabilities can be further extended through tool usage, i.e.: executable code, to enhance response accuracy or addr…

cs.AI2024

Affectively Framework: Towards Human-like Affect-Based Agents

Matthew Barthet, Roberto Gallotta, Ahmed Khalifa +2

Game environments offer a unique opportunity for training virtual agents due to their interactive nature, which provides diverse play traces and affect labels. Despite their potent…

cs.HC2024★ 11 cited

GameVibe: A Multimodal Affective Game Corpus

Matthew Barthet, Maria Kaselimi, Kosmas Pinitas +3

As online video and streaming platforms continue to grow, affective computing research has undergone a shift towards more complex studies involving multiple modalities. However, th…

cs.NE2024

Dynamic Quality-Diversity Search

Roberto Gallotta, Antonios Liapis, Georgios N. Yannakakis

Evolutionary search via the quality-diversity (QD) paradigm can discover highly performing solutions in different behavioural niches, showing considerable potential in complex real…

cs.NE2024★ 2 cited

MAP-Elites with Transverse Assessment for Multimodal Problems in Creative Domains

Marvin Zammit, Antonios Liapis, Georgios N. Yannakakis

The recent advances in language-based generative models have paved the way for the orchestration of multiple generators of different artefact types (text, image, audio, etc.) into…

cs.CL2024★ 122 cited

Large Language Models and Games: A Survey and Roadmap

Roberto Gallotta, Graham Todd, Marvin Zammit +4

Recent years have seen an explosive increase in research on large language models (LLMs), and accompanying public engagement on the topic. While starting as a niche area within nat…

cs.CV2024

BehAVE: Behaviour Alignment of Video Game Encodings

Nemanja Rašajski, Chintan Trivedi, Konstantinos Makantasis +2

Domain randomisation enhances the transferability of vision models across visually distinct domains with similar content. However, current methods heavily depend on intricate simul…

cs.HC2023★ 20 cited

Predicting Player Engagement in Tom Clancy's The Division 2: A Multimodal Approach via Pixels and Gamepad Actions

Kosmas Pinitas, David Renaudie, Mike Thomsen +4

This paper introduces a large scale multimodal corpus collected for the purpose of analysing and predicting player engagement in commercial-standard games. The corpus is solicited…

cs.HC2021★ 17 cited

Architectural Form and Affect: A Spatiotemporal Study of Arousal

Emmanouil Xylakis, Antonios Liapis, Georgios N. Yannakakis

How does the form of our surroundings impact the ways we feel? This paper extends the body of research on the effects that space and light have on emotion by focusing on critical f…