activity
20222026
most citedInterpretable AMR-Based Question Decomposition for Multi-hop Question Answering

3 citations · 5 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026

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…

cs.SD2026

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…

cs.CL2025

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…

cs.CL2025

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,…

cs.CL2023★ 1 cited

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning

Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng +10

Combining large language models with logical reasoning enhances their capacity to address problems in a robust and reliable manner. Nevertheless, the intricate nature of logical re…

cs.CL2022★ 1 cited

Prompt-based Conservation Learning for Multi-hop Question Answering

Zhenyun Deng, Yonghua Zhu, Yang Chen +3

Multi-hop question answering (QA) requires reasoning over multiple documents to answer a complex question and provide interpretable supporting evidence. However, providing supporti…

cs.CL2022★ 3 cited

Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering

Zhenyun Deng, Yonghua Zhu, Yang Chen +2

Effective multi-hop question answering (QA) requires reasoning over multiple scattered paragraphs and providing explanations for answers. Most existing approaches cannot provide an…