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Chaodong Tong

3 accepted papers

2026

SEMANTIC REFORMULATION ENTROPY FOR ROBUST HALLUCINATION DETECTION IN QA TASKS

ICASSP 2026poster

Reliable question answering with large language models (LLMs) is challenged by hallucinations, fluent but factually incorrect outputs arising from epistemic uncertainty. Existing entropy-based semantic-level uncertainty estimation methods are limited by sampling noise and unstable clustering of vari…

Cited by 0SourcePDFScholar
2025

Bottleneck-Constrained Contrastive Decoupled Network for Multimodal Aspect-based Sentiment Classification

ICASSP 2025accepted

Multimodal aspect-based sentiment classification (MABSC) is a challenging task emerging in recent years, which aims to combine text and image to identify the sentiment polarity of each aspect. There exists a potential irrelevance between aspects and images, and mistakenly focusing on irrelevant imag…

Cited by 0SourceScholar
2025

T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction

IJCAI 2025

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 is a popular approach to addressing this task, which encodes a sentence into a 2-dimensional table, allowing for the ta