4 papers · 1 filter
TRILOGUE: A Trilingual Spoken Dialogue Fact-Checking Benchmark with Evidence and Paired Audio
Chaewan Chun, Meruyert Aristombayeva, Jiyoung Choi +3
Modern misinformation is often heard before it is read, yet fact-checking systems are still evaluated mainly on clean written claims. Spoken dialogue remains different even when sy…
Lost in Speech: Trilingual Spoken Hallucination Detection Across Audio and Transcripts
Meruyert Aristombayeva, Jason S. Lucas, Chaewan Chun +1
While text-based hallucination detection has been extensively studied, spoken hallucination detection remains largely unexplored, particularly for low-resource languages. We presen…
Context-Aware Multimodal Claim Verification in Spoken Dialogues
Chaewan Chun, Delvin Ce Zhang, Dongwon Lee
Every day, millions absorb claims from podcasts and streams that no fact-checker ever sees. Spoken misinformation is built through conversation, where credibility comes not from fa…
When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms
Chaewan Chun, Delvin Ce Zhang, Dongwon Lee
Audio platforms have evolved beyond entertainment. They have become central to public discourse, from podcasts and radio to WhatsApp voice notes and live streams. With millions of…