1 citations · 1 across the 4 of their papers we have counts for
5 papers
PunGraph: Retrieval-Enhanced Phonetic-Semantic Graph Reasoning for Pun Understanding
Yuchen Su, Zijian Huang, Yaotian Shi +6
Puns are a challenging form of figurative language that exploit phonetic similarity and semantic ambiguity to convey multiple meanings. Although large language models (LLMs) demons…
Words at Play: Benchmarking Audio Pun Understanding in Large Audio-Language Models
Yuchen Su, Shaoxin Zhong, Yonghua Zhu +6
Puns represent a typical linguistic phenomenon that exploits polysemy and phonetic ambiguity to generate humour, posing unique challenges for natural language understanding. Within…
Psychology-Driven Enhancement of Humour Translation
Yuchen Su, Yonghua Zhu, Yang Chen +2
Humour translation plays a vital role as a bridge between different cultures, fostering understanding and communication. Although most existing Large Language Models (LLMs) are cap…
A Survey of Pun Generation: Datasets, Evaluations and Methodologies
Yuchen Su, Yonghua Zhu, Ruofan Wang +3
Pun generation seeks to creatively modify linguistic elements in text to produce humour or evoke double meanings. It also aims to preserve coherence and contextual appropriateness,…
Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval
Tim Hartill, Diana Benavides-Prado, Michael Witbrock +1
When provided with sufficient explanatory context, smaller Language Models have been shown to exhibit strong reasoning ability on challenging short-answer question-answering tasks…