XL-SafetyBench is a new cross-cultural benchmark showing frontier LLMs decouple jailbreak robustness from cultural sensitivity while local models trade off attack success against neutral-safe rates in a near-linear pattern indicating generation failure rather than alignment.
LLM-jp: A cross-organizational project for the research and development of fully open Japanese LLMs
3 Pith papers cite this work, alongside 5 external citations. Polarity classification is still indexing.
3
Pith papers citing it
5
external citations · external index
years
2026 3verdicts
UNVERDICTED 3representative citing papers
LLM safety judges resist adjusting evaluations when given contradictory context or new safety definitions, despite some ability to learn from new information.
Analysis of open-weight LLMs reveals strong English bias in generated sequences, with continual pre-training providing no cost benefit over from-scratch training for non-English adaptation.
citing papers explorer
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XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity
XL-SafetyBench is a new cross-cultural benchmark showing frontier LLMs decouple jailbreak robustness from cultural sensitivity while local models trade off attack success against neutral-safe rates in a near-linear pattern indicating generation failure rather than alignment.
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Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators
LLM safety judges resist adjusting evaluations when given contradictory context or new safety definitions, despite some ability to learn from new information.
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Toward LLMs Beyond English-Centric Development
Analysis of open-weight LLMs reveals strong English bias in generated sequences, with continual pre-training providing no cost benefit over from-scratch training for non-English adaptation.