5 papers
CoVer: Conflict-Aware Claim Verification
Shuning Zhang, Dai Shi, Bohao Chu +7
Social media fact-checking has long been challenged by evidence-level and aggregation-level conflicts, where erroneous evidence mimics authoritative news sources. To capture this c…
Understanding Security and Privacy Perceptions of Content Creators Regarding AI Labels of AI-Generated Content
Shuning Zhang, Hui Wang, Rongjun Ma +4
AI labels, typically implemented via underlying tracing mechanisms such as watermarks and metadata, are crucial for protecting Artificial Intelligence-Generated Content (AIGC) agai…
Towards Multi-Agent-Simulation-Based Community Note Evaluation
Changxi Wen, Shuning Zhang, Bohao Chu +5
Community-based fact-checking that relies on cross-consensus is expanding rapidly on social media platforms. However, the delay and low-ratio of cross-consensus community fact-chec…
eTracer: Towards Traceable Text Generation via Claim-Level Grounding
Bohao Chu, Qianli Wang, Hendrik Damm +5
How can system-generated responses be efficiently verified, especially in the high-stakes biomedical domain? To address this challenge, we introduce eTracer, a plug-and-play framew…
ATLAS: A Layered Constraint-Guided Framework for Structured Artifact Generation in LLM-Assisted MDE
Tong Ma, Hui Lai, Hui Wang +4
ATLAS is a constraint-guided generation framework for structured engineering artifacts whose outputs must satisfy explicit schemas, domain rules, and audit requirements. Rather tha…