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20242026
most citedContrastive Learning of Preferences with a Contextual InfoNCE Loss

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cs.AI2025

UrzaGPT: LoRA-Tuned Large Language Models for Card Selection in Collectible Card Games

Timo Bertram

Collectible card games (CCGs) are a difficult genre for AI due to their partial observability, long-term decision-making, and evolving card sets. Due to this, current AI models per…