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cs.CL2026
Schützen: Evaluating LLM Safety in Bulgarian and German Contexts
Kiril Georgiev, Yuxia Wang, Dimitar Iliyanov Dimitrov +2
Large language models are increasingly deployed across professional domains, bringing hard-to-predict risks, including the generation of harmful or disrespectful content. Although…
cs.CL2026
ParaBridge: Bridging Paralinguistic Perception and Dialogue Behavior in Speech Language Models
Yuxiang Wang, Qinke Ni, Shengbo Cai +3
Speech carries more information than just words: a child's voice, a fearful tone, or a noisy background should all lead a sufficiently competent spoken-dialogue assistant to differ…
cs.CL2026
TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles
Yirong Zeng, Yufei Liu, Xiao Ding +9
Instruction Following (IF) is a core capability of LLMs, requiring strict adherence to diverse constraints, ranging from verifiable ones (e.g., output length) to unverifiable ones…