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20242026
most citedZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities

1 citations · 2 across the 20 of their papers we have counts for

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cs.AI2026

TransMeme: A Multi-Agent Framework for Cross-Cultural Meme Transcreation

Jingyi Zheng, Yule Liu, Zifan Peng +4

Internet memes are a pervasive form of multimodal online communication; however, such communication often involves users from diverse linguistic and cultural backgrounds. Therefore…

cs.CR2026

What Your Posts Reveal: A Benchmark and Agentic Framework for User-Level Privacy Leakage on Social Media

Zifan Peng, Yini Huang, Aiwen Lu +7

Public social media posts can reveal private information through weak cues scattered across text, images, or metadata. Such leakage is often cumulative and cross-post: cues that ap…

cs.SD2026

Beyond Waveform Robustness: Robust Feature-Vocoder Adversarial Attacks on Automatic Speech Recognition

Yifan Liao, Zongmin Zhang, Zhen Sun +3

Automatic speech recognition (ASR) systems have become widely used for multilingual speech-to-text transcription. Their robustness to adversarial attacks has become an important to…

cs.CL2026

When New Generators Arrive: Lifelong Machine-Generated Text Attribution via Ridge Feature Transfer

Zhen Sun, Yifan Liao, Zhicong Huang +4

Machine-generated text (MGT) attribution aims to identify the specific generator responsible for a given text, thereby providing fine-grained evidence for model accountability and…

cs.LG2026

CHASM: Unveiling Covert Advertisements on Chinese Social Media

Jingyi Zheng, Tianyi Hu, Yule Liu +5

Current benchmarks for evaluating large language models (LLMs) in social media moderation completely overlook a serious threat: covert advertisements, which disguise themselves as…