Zhen Wang

This paper proposes LoSplit, a training-time defense that detects and mitigates graph backdoors by dynamically analyzing early loss divergence.

AdaPA-Agent enhances LLM agent personalization by dynamically modeling user preference strengths via 'Adaptive Preference Arithmetic,' learning from existing interactions without extra user feedback.