most citedRedefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Let the Bullets Fly: Multimodal Fake News Detection with Temporal-Aligned Generative Danmaku

Xiansheng Luo, Chaowei Zhang, Zewei Zhang +2

The social interactions among crowds via \textit{Danmaku} (a.k.a., bullet comments) on modern multimedia platforms can facilitate both viewpoint conflicts and consensus, providing…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025★ 2 cited

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…

cs.CL2025

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…