3 papers
cs.CV2026
FaithSCAN: Model-Driven Single-Pass Hallucination Detection for Faithful Visual Question Answering
Chaodong Tong, Qi Zhang, Chen Li +2
Faithfulness hallucinations in VQA occur when vision-language models produce fluent yet visually ungrounded answers, severely undermining their reliability in safety-critical appli…
cs.CL2025
Semantic Reformulation Entropy for Robust Hallucination Detection in QA Tasks
Chaodong Tong, Qi Zhang, Lei Jiang +3
Reliable question answering with large language models (LLMs) is challenged by hallucinations, fluent but factually incorrect outputs arising from epistemic uncertainty. Existing e…
cs.CL2025
T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction
Kun Peng, Chaodong Tong, Cong Cao +6
Aspect sentiment triplet extraction (ASTE) aims to extract triplets composed of aspect terms, opinion terms, and sentiment polarities from given sentences. The table tagging method…