Events

Date: 21 April 2026   Time: 11:00 - 00:00

Location: PL 3.02, Peter Landin Building. E1 4NS Map 

This wee's speaker is Yufeng Li, a third-year PhD student in the Cogsci Group working with Arkaitz, who will be presenting her recently accepted paper at ICASSP ????to EECS PhD students. Snacks and Sandwiches will be available at the end of the session.

Title: RAVE: Retrieval and Scoring Aware Verifiable Claim Detection

Speaker: Yufeng Li .

Bio: Yufeng Li is a third-year PhD student working on natural language processing, with a particular interest in automated fact-checking and claim detection. When not working, she enjoys bouldering and rope climbing.
Abstract:
The rapid spread of misinformation on social media underscores the need for scalable fact-checking tools. A key step is claim detection, which identifies statements that can be objectively verified. Prior approaches often rely on linguistic cues or claim check-worthiness, but these struggle with vague political discourse and diverse formats such as tweets. We present RAVE (Retrieval and Scoring Aware Verifiable Claim Detection), a framework that combines evidence retrieval with structured signals of relevance and source credibility. Experiments on CT22-test and PoliClaim-test show that RAVE consistently outperforms text-only and retrieval-based baselines in both accuracy and F1.