107 citations · 209 across the 41 of their papers we have counts for
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cs.AI2026
Contextual Value Alignment via Multilayer Combinatorial Fusion
Yuanhong Wu, Djallel Bouneffouf, D. Frank Hsu
Aligning large language models (LLMs) with human values remains a major challenge, especially for trustworthy AI. While existing approaches such as RLHF, CAI, and their variants ha…
cs.AI2026
Mitigating Misalignment Contagion by Steering with Implicit Traits
Maria Chang, Ronny Luss, Miao Liu +3
Language models (LMs) are increasingly used in high-stakes, multi-agent settings, where following instructions and maintaining value alignment are critical. Most alignment research…