作者位次 #2/3ICML 2026Poster· Deep Learning / Large Language Models
Don't Ignore the Tail: Decoupled Distillation Produces Top Maths Students on an Academic Budget
Sayantan Dasgupta · Trevor Cohn · Tim Baldwin
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Sayantan Dasgupta · Trevor Cohn · Tim Baldwin
Viktoria Schram · Markus Hiller · Daniel Beck · Trevor Cohn
Panuthep Tasawong · Jian Gang Ngui · Alham Fikri Aji · Trevor Cohn · Peerat Limkonchotiwat
Culturally aware safeguards are crucial for AI alignment in real-world settings, where safety extends beyond common sense and encompasses diverse local values, norms, and region-specific regulations. However, building large-scale, culturally grounded datasets is challenging due to limited resourc...
Panuthep Tasawong · Jian Gang Ngui · Alham Fikri Aji · Trevor Cohn · Peerat Limkonchotiwat
Safeguard models help large language models (LLMs) detect and block harmful content, but most evaluations remain English-centric and overlook linguistic and cultural diversity. Existing multilingual safety benchmarks often rely on machine-translated English data, which fails to capture nuances in...