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Xuanyu Yin

2 accepted papers

2026

EduGuardBench: A Holistic Benchmark for Evaluating the Pedagogical Fidelity and Adversarial Safety of LLMs as Simulated Teachers

AAAI 2026technical

Large Language Models for Simulating Professions (SP-LLMs), particularly as teachers, are pivotal for personalized education. However, ensuring their professional competence and ethical safety remains a major challenge, as existing benchmarks fail to measure role-playing fidelity or address the uniq

Cited by 0SourcePDFScholar
2026

RIVS: Mitigating Hallucination in Large Vision-Language Models via Representation Intervention on Visual Grounding Shift

IJCAI 2026

Large Vision-Language Models (LVLMs) demonstrate powerful generative capabilities yet remain prone to object hallucinations. Most existing methods mitigate this issue through training or decoding strategies, but provide limited exploration of how hallucinations arise from internal representations du

Cited by 0Scholar