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University of Groningenfounded in 1614  -  top 100 university
About us Practical matters How to find us Y. Zhang

Research interests

My main research focuses on simulating the evolution of linguistic structure using neural agents. Specifically, I want to develop methods to simulate the cultural evolution of linguistic structure through neural network agent-based computational modeling, and to explore the nature of learners' bias (whether it's statistically learned or internal cognitive constraints).

Publications

Evaluating Multimodal Large Language Models on Spoken Sarcasm Understanding

Integrating Feedback Loss from Bi-modal Sarcasm Detector for Sarcastic Speech Synthesis

Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection

Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection

A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm

A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm

Endowing Neural Language Learners with Human-like Biases: A Case Study on Dependency Length Minimization