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The paper introduces Recursive Game Creator, an experience-oriented agentic framework with Designer, Builder, Player, and Reviewer roles that recursively transforms game prototypes into polished games, achieving state-of-the-art results on GameCraft-Bench and GameASG-Bench via its Coding-Native Player for gameplay evaluation.
论文提出 Rules to Tools (R2T)，为科学计算中的 LLM 代码修复代理提供可执行的公开需求检查工具，并在 SciCode 基准上对比纯文本说明与可调用检查的修复效果与成本。
This paper proposes Step-KTOder, a framework for code preference optimization that uses function-level execution feedback with unit tests to improve over outcome-only methods like KTO and DPO on benchmarks such as HumanEval+ and MBPP+.
该论文揭示了在类分割异常检测评估中，由于表示空间中的分布重叠，异常分数可能变得不稳定甚至反转，并引入了一种无训练的邻域类泄漏诊断来预测此现象。
ClawGUI is an open-source framework for training, evaluating, and deploying GUI agents using reinforcement learning, featuring standardized benchmarks and cross-platform deployment to Android, iOS, and HarmonyOS.