5 citations · 14 across the 17 of their papers we have counts for
8 papers · 1 filter
Large Language Models for Automated Literature Review: An Evaluation of Reference Generation, Abstract Writing, and Review Composition
Xuemei Tang, Xufeng Duan, Zhenguang G. Cai
Large language models (LLMs) have emerged as a potential solution to automate the complex processes involved in writing literature reviews, such as literature collection, organizat…
Speaker effects in language comprehension: An integrative model of language and speaker processing
Hanlin Wu, Zhenguang G. Cai
The identity of a speaker influences language comprehension through modulating perception and expectation. This review explores speaker effects and proposes an integrative model of…
HLB: Benchmarking LLMs' Humanlikeness in Language Use
Xufeng Duan, Bei Xiao, Xuemei Tang +1
As synthetic data becomes increasingly prevalent in training language models, particularly through generated dialogue, concerns have emerged that these models may deviate from auth…
When a Man Says He Is Pregnant: Event-related Potential Evidence for a Rational Account of Speaker-contextualized Language Comprehension
Hanlin Wu, Zhenguang G. Cai
Spoken language is often, if not always, understood in a context formed by the identity of the speaker. For example, we can easily make sense of an utterance such as "I'm going to…
Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability
Xufeng Duan, Xinyu Zhou, Bei Xiao +1
As large language models (LLMs) advance in their linguistic capacity, understanding how they capture aspects of language competence remains a significant challenge. This study ther…
Linguistic Minimal Pairs Elicit Linguistic Similarity in Large Language Models
Xinyu Zhou, Delong Chen, Samuel Cahyawijaya +2
We introduce a novel analysis that leverages linguistic minimal pairs to probe the internal linguistic representations of Large Language Models (LLMs). By measuring the similarity…
Grammaticality Representation in ChatGPT as Compared to Linguists and Laypeople
Zhuang Qiu, Xufeng Duan, Zhenguang G. Cai
Large language models (LLMs) have demonstrated exceptional performance across various linguistic tasks. However, it remains uncertain whether LLMs have developed human-like fine-gr…
MacBehaviour: An R package for behavioural experimentation on large language models
Xufeng Duan, Shixuan Li, Zhenguang G. Cai1
There has been increasing interest in investigating the behaviours of large language models (LLMs) and LLM-powered chatbots by treating an LLM as a participant in a psychological e…