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ACERT (Averaged Contextual Emotion Representation through Time), a module that integrates a flexible-length window of conversational context to better capture emotional evolution in spoken interactions, is introduced.
Turn-transition entropy is introduced, a self-supervised target computed from the sequence of speaker transitions, which quantifies the predictability of interaction patterns and can be learned as a single-task objective.
HallDetect, a lightweight, reference-free, and black-box framework for hallucination detection, is presented, a lightweight, reference-free, and black-box framework for hallucination detection that is evaluated not only on summarization but across a broader range of source-grounded generation settings.
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