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腾讯网
24 天
LLM超越人类时该如何对齐?谷歌用新RLHF框架解决了这个问题
让 LLM 在自我进化时也能保持对齐 ... 开发了一种可扩展的开放式 RLHF 框架 eva,即 Evolving Alignment via Asymmetric Self-Play,也就是「通过非对称自博弈 ...
腾讯网
4 天
指令跟随大比拼!Meta发布多轮多语言基准Multi-IF:覆盖8种语言,超 ...
在大语言模型(LLMs)不断发展的背景下,如何评估这些模型在多轮对话和多语言环境下的指令遵循(instruction following)能力,成为一个重要的研究方向。 现有评估基准多集中于单轮对话和单语言任务,难以揭示复杂场景中的模型表现。
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