A Non-local Attachment Preference in the Production and Comprehension of ThaiRelative Clauses
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Who Relies More on World Knowledge and Bias for Syntactic Ambiguity Resolution: Humans or LLMs?
This study explores how recent large language models (LLMs) navigate relative clause attachment {ambiguity} and use world knowledge biases for disambiguation in six typologically diverse languages: English, Chinese, Japa…
NavigateWorld KnowledgeRecurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment
A standard approach to evaluating language models analyzes how models assign probabilities to valid versus invalid syntactic constructions (i.e. is a grammatical sentence more probable than an ungrammatical sentence). Ou…
Language ModelingLanguage ModellingSentencevalidPlausibility as Commonsense Reasoning: Humans Succeed, Large Language Models Do not
Large language models achieve strong performance on many language tasks, yet it remains unclear whether they integrate world knowledge with syntactic structure in a human-like, structure-sensitive way during ambiguity re…
DinoCompanion: An Attachment-Theory Informed Multimodal Robot for Emotionally Responsive Child-AI Interaction
Children's emotional development fundamentally relies on secure attachment relationships, yet current AI companions lack the theoretical foundation to provide developmentally appropriate emotional support. We introduce D…
Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue
Language models are often used as the backbone of modern dialogue systems. These models are pre-trained on large amounts of written fluent language. Repetition is typically penalised when evaluating language model genera…
Dialogue GenerationLanguage ModelingLanguage Modelling