3 citations · 3 across the 14 of their papers we have counts for
7 papers · 1 filter
Language Models Have Interpretable Narrative Mechanisms
David Yiyang Liu, Aditya Joshi, Paul Dawson +1
We investigate whether language models contain internal components that contribute to representing narrativity, the degree to which a text exhibits narrative properties. Across GPT…
Mandarin Humorous Homophone Recognition and Disambiguation in Automatic Speech Recognition
Sicheng Jin, Jinghao Chen, Liuheng Zhou +3
Mandarin homophones remain a key challenge to improving automatic speech recognition (ASR) accuracy due to the amount of potential homophones. Mandarin speakers use this feature ca…
A Hybrid Framework for Song Lyric Annotation Based on Human-LLM Alignment
Rashini Liyanarachchi, Frank Tran, Md Mahmudul Hasan +2
Emotion recognition of song lyrics is a challenging task since lyrics may not necessarily align with the overall emotion of a song. As a result, lyrics annotation remains largely u…
Paediatric-HGNN: A Hybrid Heterogeneous Graph Neural Network for Detecting Disfluency in Children's Speech via Multiscale Acoustic Fusion
Rashini Liyanarachchi, Rachael Mackay, Alison Short +2
Automated stuttering detection (ASD) systems struggle with paediatric speech due to high acoustic variability in developing voices and the subtle distinction between pathological s…
Far Out: Evaluating Language Models on Slang in Australian and Indian English
Deniz Kaya Dilsiz, Dipankar Srirag, Aditya Joshi
Language models exhibit systematic performance gaps when processing text in non-standard language varieties, yet their ability to comprehend variety-specific slang remains underexp…
Narrative Theory-Driven LLM Methods for Automatic Story Generation and Understanding: A Survey
David Y. Liu, Aditya Joshi, Paul Dawson
Applications of narrative theories using large language models (LLMs) deliver promising methods in automatic story generation and understanding tasks. Our survey examines how natur…
In Vino Veritas and Vulnerabilities: Examining LLM Safety via Drunk Language Inducement
Anudeex Shetty, Aditya Joshi, Salil S. Kanhere
Humans are susceptible to undesirable behaviours and privacy leaks under the influence of alcohol. This paper investigates drunk language, i.e., text written under the influence of…