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cs.CL2026
On the Robustness of Knowledge Editing for Detoxification
Ming Dong, Shiyi Tang, Ziyan Peng +2
Knowledge-Editing-based (KE-based) detoxification has emerged as a promising approach for mitigating harmful behaviours in Large Language Models. Existing evaluations, however, lar…
cs.CL2026
How Do People Quantify Naturally: Evidence from Mandarin Picture Description
Yayun Zhang, Guanyi Chen, Fahime Same +2
Quantification is a fundamental component of everyday language use, yet little is known about how speakers decide whether and how to quantify in naturalistic production. We investi…