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Yulin Ou · Yu Wang · Yang Xu · Hendrik Buschmeier
Recent theoretical advancement of information density in natural language has brought the following question on desk: To what degree does natural language exhibit periodicity pattern in its encoded information? We address this question by introducing a new method called AutoPeriod of Surprisal (A...
Yu Wang · Leyi Lao · Langchu Huang · Gabriel Skantze · Yang Xu · Hendrik Buschmeier
Backchannels and fillers are important linguistic expressions in dialogue, but often treated as “noise” to be bypassed in modern transformer-based language models. Our work studies the representation of them in language models using three fine-tuning strategies. The models are trained on three di...
Xiaoshan He · Xiaoqun Liu · Haodong He · Yu Wang · Yang Xu
Eye movement offers valuable insights into human visual attention during assessment of machine-generated texts, yet existing research and resources in this area are limited. To bridge this gap, we introduce Gaze Responses for Evaluating AI Texts (GREAT), a comprehensive dataset capturing human ey...