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Borui Jiang

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#machine learning Preprint Oct 2026

Rethinking Faithfulness in LLMs: A Pairwise Context-Sensitive Perspective

Large language models (LLMs) are expected to answer questions faithfully based on the provided context, abstaining when the context information is insufficient to answer the questions. Existing faithfulness evaluations typically assess each question-context instance in isolation; however, such instance-level evaluation...

Zi-Zhuo Zhang, Xiong Peng, Jing-Wei Sun et al. · 0 citations
Preprint Aug 2026

CapProbe: Evaluating Detailed Image Captions via Full-Scene Dense Question Answering

CapProbe is introduced, a full-scene dense QA benchmark that turns detailed caption evaluation into region-aligned factual checking and is cost-effective: by converting unconstrained scalar scoring into structured MCQ reading, it reduces open-ended scoring bias while remaining judge-conditioned and yields relatively st...

Mouxiao Huang, Qi Yan, Bo-Rui Jiang et al. · 0 citations

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