2 citations · 5 across the 9 of their papers we have counts for
10 papers
Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning
Chaowei Zhang, Xiansheng Luo, Zewei Zhang +3
The widespread proliferation of online content has intensified concerns about clickbait, deceptive or exaggerated headlines designed to attract attention. While Large Language Mode…
AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration
Minjiang Huang, Jipeng Qiang, Yi Zhu +3
Audiobook interpretations are attracting increasing attention, as they provide accessible and in-depth analyses of books that offer readers practical insights and intellectual insp…
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
Chaowei Zhang, Zongling Feng, Zewei Zhang +3
The questionable responses caused by knowledge hallucination may lead to LLMs' unstable ability in decision-making. However, it has never been investigated whether the LLMs' halluc…
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification
Jipeng Qiang, Minjiang Huang, Yi Zhu +3
Text simplification (TS) refers to the process of reducing the complexity of a text while retaining its original meaning and key information. Existing work only shows that large la…
New Evaluation Paradigm for Lexical Simplification
Jipeng Qiang, Minjiang Huang, Yi Zhu +3
Lexical Simplification (LS) methods use a three-step pipeline: complex word identification, substitute generation, and substitute ranking, each with separate evaluation datasets. W…
Progressive Document-level Text Simplification via Large Language Models
Dengzhao Fang, Jipeng Qiang, Yi Zhu +3
Research on text simplification has primarily focused on lexical and sentence-level changes. Long document-level simplification (DS) is still relatively unexplored. Large Language…
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…
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…
Clickbait Detection via Large Language Models
Han Wang, Yi Zhu, Ye Wang +3
Clickbait, which aims to induce users with some surprising and even thrilling headlines for increasing click-through rates, permeates almost all online content publishers, such as…
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…