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Jad Kabbara

ACL 2026×2社会与人本评测与基准推理安全强化学习与后训练
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #5/6ACL 2026Poster· Natural Language Processing

Common to Whom? Regional Cultural Commonsense and LLM Bias in I ndia

Sangmitra Madhusudan · Trush Shashank More · Steph Buongiorno · Renata Dividino · Jad Kabbara · Ali Emami

摘要

Existing cultural commonsense benchmarks treat nations as monolithic, assuming uniform practices within national boundaries. But does cultural commonsense hold uniformly within a nation, or does it vary at the sub-national level? We introduce Indica , the first benchmark designed to test LLMs’ ab...

评测与基准社会与人本推理OpenReview 项目页
作者位次 #3/4ACL 2026Findings· Findings of ACL

DART : Mitigating Harm Drift in Difference-Aware LLM s via Distill-Audit-Repair Training

Ziwen Pan · Zihan Liang · Jad Kabbara · Ali Emami

摘要

Large language models (LLMs) tuned for safety often avoid acknowledging demographic differences, even when such acknowledgment is factually correct (e.g., ancestry-based disease incidence) or contextually justified (e.g., religious hiring preferences). This identity-blindness yields incorrect res...

社会与人本安全强化学习与后训练OpenReview 项目页

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