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Mitigating the Safety-utility Trade-off in LLM Alignment via Adaptive Safe Context Learning

Yanbo Wang, Minzheng Wang, Jian Liang, Lu Wang, Yongcan Yu, Ran He · Feb 14, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 26% Sparse protocol signal Freshness: Cold Status: Fallback
Pairwise Preference Coding
  • To mitigate the safety-utility trade-off, we propose the Adaptive Safe Context Learning~(ASCL) framework to improve the reasoning given proper context.
  • Furthermore, to counteract the preference for rule consultation during RL, we introduce Inverse Frequency Policy Optimization~(IFPO) to rebalance advantage estimates.
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