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hi there welcome to the new video today ill be talking about this paper which is titled as detecting hallucinated content in conditional neural sequence generation this is from researchers from cmu and facebook ai research so at very high level the paper essentially talks about an important problem that kind of exists in current days text generation system which is that no doubt the current systems are fluent enough to generate syntactically correct and fluent text but many studies have often showed that they still tend to generate the text that hallucinates or in other words you can think of them being generating factually incorrect information so this paper essentially focuses on automatically identifying and quantifying this generated text that is not faithful to the input text so for example if you have this input i it goes to a system lets call it as m and it generates a certain output sequence o so think of this setting as a machine translation lets say where the source lang