Min-Yen Kan

Community Notes, the crowd-sourced misinformation governance system on X (formerly Twitter), allows users to flag misleading posts, attach contextual notes, and rate the notes’ helpfulness. However, our empirical analysis of 30.8K health-related notes reveals substantial latency, with a median de...

Even when factually correct, social-media news previews (image-headline pairs) can induce interpretation drift: by selectively omitting crucial context, they lead readers to form judgments that diverge from what the full article supports. This covert harm is subtler than explicit misinformation,...

While mixed-language querying is ubiquitous in multilingual communities, the sensitivity of dense retrievers to such queries remains poorly understood. We present a ratio-controlled study on mMARCO that systematically evaluates retrieval performance by varying the mixing proportion of parallel qu...

We introduce Comic Visual Question Answering ( ComicVQA ), a comics-based benchmark for evaluating MLLMs on visual reasoning. ComicVQA comprises of (i) Missing Panel Prediction , testing fine-grained visual grounding and (ii) Panel Sorting , which evaluates sequential narrative understanding. Pro...