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20242026
most citedTowards Comprehensive Detection of Chinese Harmful Memes

1 citations · 1 across the 8 of their papers we have counts for

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cs.CL2026

Harder to Defend: Towards Chinese Toxicity Attacks via Implicit Enhancement and Obfuscation Rewriting

Jingyi Kang, Junyu Lu, Bo Xu +4

Large language models (LLMs) require robust toxicity evaluation beyond explicit wording. This setting remains underexplored in Chinese, where toxicity may combine semantic indirect…

cs.CL2026

PatRe: A Full-Stage Office Action and Rebuttal Generation Benchmark for Patent Examination

Qiyao Wang, Xinyi Chen, Longze Chen +4

Patent examination is a complex, multi-stage process requiring both technical expertise and legal reasoning, increasingly challenged by rising application volumes. Prior benchmarks…

cs.CL2025

IPBench: Benchmarking the Knowledge of Large Language Models in Intellectual Property

Qiyao Wang, Guhong Chen, Hongbo Wang +20

Intellectual Property (IP) is a highly specialized domain that integrates technical and legal knowledge, making it inherently complex and knowledge-intensive. Recent advancements i…

cs.CL2024★ 1 cited

Towards Comprehensive Detection of Chinese Harmful Memes

Junyu Lu, Bo Xu, Xiaokun Zhang +5

This paper has been accepted in the NeurIPS 2024 D & B Track. Harmful memes have proliferated on the Chinese Internet, while research on detecting Chinese harmful memes significant…

cs.CL2024

PclGPT: A Large Language Model for Patronizing and Condescending Language Detection

Hongbo Wang, Mingda Li, Junyu Lu +5

Disclaimer: Samples in this paper may be harmful and cause discomfort! Patronizing and condescending language (PCL) is a form of speech directed at vulnerable groups. As an essenti…