TextQuests：LLM 在文字冒險遊戲中的表現究竟如何？Hugging Face 推出全新評估基準
Original: TextQuests: How Good are LLMs at Text-Based Video Games?
Hugging Face has recently introduced a new benchmark called "TextQuests," designed to evaluate the performance of large language models…
Hugging Face 發表全新基準測試「TextQuests」，旨在評估大型語言模型（LLM）在文字冒險遊戲（如 Zork）中的表現。這類遊戲要求模型具備強大的自然語言理解、常識推理、長期規劃與狀態追蹤能力。測試結果顯示，儘管現今 LLM 在傳統基準上表現優異，但在面對需要多步驟決策與試錯的文字遊戲時仍面臨極大挑戰。
Hugging Face has recently introduced a new benchmark called "TextQuests," designed to evaluate the performance of large language models (LLMs) in text-based adventure games (such as the classic Zork or games on the Jericho platform). Text adventure games have long been considered an excellent sandbox for evaluating the capabilities of autonomous AI agents, as they provide no visual display whatsoever — the model must rely entirely on text descriptions to understand the game world.
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