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Anthropic’s “Towards Understanding Sycophancy in Language Models” (ICLR 2024) paper showed that five state-of-the-art AI assistants exhibited sycophantic behavior across a number of different tasks. When a response matched a user’s expectation, it was more likely to be preferred by human evaluators. The models trained on this feedback learned to reward agreement over correctness.，详情可参考新收录的资料
Последние новости，这一点在新收录的资料中也有详细论述
（新华社北京2月25日电 记者朱基钗、胡浩、丁小溪、高蕾、胡梦雪）
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