8 papers · 1 filter
One Model Is Not a Crowd: Multi-LLM and Aspect-Conditioned Diverse Comment Generation
Nafis Irtiza Tripto, Delvin Ce Zhang, Mahjabin Nahar +1
Human communication on the internet is shaped by diverse perspectives, most visibly expressed in online comment spaces. As large language model (LLM)based AI agents begin to inhabi…
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…
Context-Aware Multimodal Claim Verification in Spoken Dialogues
Chaewan Chun, Delvin Ce Zhang, Dongwon Lee
Spoken factual claims often occur within multi-turn conversations, where surrounding dialogue can provide context unavailable from the claim alone. Yet most fact-checking research…
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…
M2-Verify: A Large-Scale Multidomain Benchmark for Checking Multimodal Claim Consistency
Abolfazl Ansari, Delvin Ce Zhang, Zhuoyang Zou +2
Evaluating scientific arguments requires assessing the strict consistency between a claim and its underlying multimodal evidence. However, existing benchmarks lack the scale, domai…
MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence Retrieval
Delvin Ce Zhang, Suhan Cui, Zhelin Chu +2
Verifying the truthfulness of claims usually requires joint multi-modal reasoning over both textual and visual evidence, such as analyzing both textual caption and chart image for…
Echoes of Automation: The Increasing Use of LLMs in Newsmaking
Abolfazl Ansari, Delvin Ce Zhang, Nafis Irtiza Tripto +1
The rapid rise of Generative AI (GenAI), particularly LLMs, poses concerns for journalistic integrity and authorship. This study examines AI-generated content across over 40,000 ne…
CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
Delvin Ce Zhang, Dongwon Lee
Fact-checking the truthfulness of claims usually requires reasoning over multiple evidence sentences. Oftentimes, evidence sentences may not be always self-contained, and may requi…