To Trust or Not to Trust: Retrieval-Augmented Fact Checking in Speech

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To Trust or Not to Trust: Retrieval-Augmented Fact Checking in Speech

Online misinformation increasingly appears in spoken formats such as news clips, podcasts, interviews, political speeches, and social media videos, creating a need for fact-checking systems that can verify claims directly from speech. We introduce VeriSpeak, a probe benchmark for studying speech-based fact verification in Large Audio Language Models (LALMs). VeriSpeak contains 3,879 spoken claims spanning temporal, geographical, and relational facts, with balanced true and false labels. The benc


Source: ArXiv AI