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cs.CL2026
PMIScore: An Unsupervised Approach to Quantify Dialogue Engagement
Yongkang Guo, Zhihuan Huang, Yuqing Kong
High dialogue engagement is a crucial indicator of an effective conversation. A reliable measure of engagement could help benchmark large language models, enhance the effectiveness…
cs.CL2026
Jailbreaking LLMs via Calibration
Yuxuan Lu, Yongkang Guo, Yuqing Kong
Safety alignment in Large Language Models (LLMs) often creates a systematic discrepancy between a model's aligned output and the underlying pre-aligned data distribution. We propos…