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六大维度,LLM「问题生成」首次正面PK人类,伯克利等发布最新研究
【导读】 研究人员首次探讨了大型语言模型(LLMs)在问题生成任务中的表现,与人类生成的问题进行了多维度对比,结果发现LLMs倾向于生成需要较长描述性答案的问题,且在问题生成中对上下文的关注更均衡。
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