most citedSentence Simplification via Large Language Models

22 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Prompt-tuning for Clickbait Detection via Text Summarization

Haoxiang Deng, Yi Zhu, Ye Wang +4

Clickbaits are surprising social posts or deceptive news headlines that attempt to lure users for more clicks, which have posted at unprecedented rates for more profit or commercia…

cs.CL2023

Multilingual Lexical Simplification via Paraphrase Generation

Kang Liu, Jipeng Qiang, Yun Li +3

Lexical simplification (LS) methods based on pretrained language models have made remarkable progress, generating potential substitutes for a complex word through analysis of its c…

cs.CL20231 cited

ParaLS: Lexical Substitution via Pretrained Paraphraser

Jipeng Qiang, Kang Liu, Yun Li +2

Lexical substitution (LS) aims at finding appropriate substitutes for a target word in a sentence. Recently, LS methods based on pretrained language models have made remarkable pro…

cs.CL202322 cited

Sentence Simplification via Large Language Models

Yutao Feng, Jipeng Qiang, Yun Li +2

Sentence Simplification aims to rephrase complex sentences into simpler sentences while retaining original meaning. Large Language models (LLMs) have demonstrated the ability to pe…

cs.CY20231 cited

Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect

Yunhao Yuan, Koustuv Saha, Barbara Keller +2

The Papageno effect concerns how media can play a positive role in preventing and mitigating suicidal ideation and behaviors. With the increasing ubiquity and widespread use of soc…