3 papers
cs.CL2026
Modeling the Arrival Time of Information-Bearing Events in Natural Language
Leyi Lao, Yulin Ou, Yang Xu +1
Understanding how information is distributed over time is fundamental to modeling natural language. While existing empirical studies primarily rely on post-hoc analysis of informat…
cs.CL2025
Identifying the Periodicity of Information in Natural Language
Yulin Ou, Yu Wang, Yang Xu +1
Recent theoretical advancement of information density in natural language has brought the following question on desk: To what degree does natural language exhibit periodicity patte…
cs.CL2025
Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models
Yu Wang, Leyi Lao, Langchu Huang +3
Backchannels and fillers are important linguistic expressions in dialogue, but often treated as 'noise' to be bypassed in modern transformer-based language models (LMs). Here, we s…