Papers by Sixing Yan

2 papers
Adversarial Attack against Cross-lingual Knowledge Graph Alignment (2021.emnlp-main)

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Challenge: Existing studies on cross-lingual entity alignment under adversarial attacks have not been conducted.
Approach: They propose to use adversarial attack techniques to perturb cross-lingual entity alignment under adversarials.
Outcome: The proposed model hides the attacked entities in dense regions in two KGs, and reduces the gradient vanishing issues in the process of adversarial attacks for further improving the attack effectiveness.
X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation (2026.findings-acl)

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Challenge: Technical language and templated nature of professional reports hinder patient comprehension and allow models to artificially boost lexical metrics such as BLEU by reproducing common report patterns.
Approach: They propose a layman's RRG framework that leverages layperson-friendly language to enhance patient accessibility and promote robust evaluation and report generation by encouraging models to focus on semantic accuracy over rigid templates.
Outcome: The proposed framework improves model performance with more layman-style data, compared to templated professional language and inflated lexical scores.

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