6 papers
Contextual Semantic Relevance Tracks fMRI BOLD Responses During Naturalistic Speech Comprehension
Kun Sun, Rong Wang
Naturalistic language comprehension requires listeners to process both local probabilistic expectations and contextual semantic relations. This study tested whether contextual sema…
Contextual Semantic Relevance and Word Surprisal Predict N400 and P600 Dynamics During Naturalistic Reading
Kun Sun, Rong Wang
Word surprisal is a well-established computational predictor of human neural responses during language comprehension, but it remains less clear whether local semantic fit explains…
Prior over Evidence: Stereotype-Driven Diagnosis in LLM-Based L2 Pronunciation Feedback
Rong Wang, Kun Sun
Large language models are increasingly deployed for written pronunciation feedback in second-language (L2) English learning, under the assumption that their diagnoses are grounded…
Systematic Framework of Application Methods for Large Language Models in Language Sciences
Kun Sun, Rong Wang
Large Language Models (LLMs) are transforming language sciences. However, their widespread deployment currently suffers from methodological fragmentation and a lack of systematic s…
The fragility of "cultural tendencies" in LLMs
Kun Sun, Rong Wang
In a recent study, Lu, Song, and Zhang (2025) (LSZ) propose that large language models (LLMs), when prompted in different languages, display culturally specific tendencies. They re…
Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs
Rong Wang, Kun Sun, Jonas Kuhn
Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks, yet they often struggle with spatial reasoning. This paper presents a novel neural-symb…