Qualitative comparison figures are central evidence in computer vision papers, and vision-language models (VLMs) are increasingly used to judge them. Yet existing benchmarks score only scalar quality or overall preference, so a judge can be rewarded for picking the preferred image for the wrong visual reason. We introd...
Xuân Định Vũ, Duc-Hai Nguyen, M. Dao et al.· 0 citations
VIVID is presented, the first systematic benchmark for evaluating culturally grounded figurative language understanding in Vietnamese, and an evaluation framework combining generative and discriminative tasks, proposing an LLM-as-a-Judge approach with aspect-based prompting validated against human judgment.
Tu Tran Do, N. Nguyen, Tung Khanh Tran et al.· International Conference on...· 0 citations
This survey presents a unified and pipeline-aware overview of RAG robustness, formalize threat models over the corpus, retriever, and generator, and organize attacks into three main objectives: accuracy, privacy, and fairness.
Minh Tran, Cuong Dang, Tuc Nguyen et al.· 1 citation
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