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20242026
most citedAre We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs

Yaoting Wang, Ziyi Zhang, Wenming Tu +10

Recent advances in Omni-Multimodal Large Language Models (Omni-MLLMs) have enabled strong integration of vision, audio, and language. However, their audio-visual intelligence (AVI)…

cs.SI2026

Reducing Detail Hallucinations in Long-Context Regulatory Understanding via Targeted Preference Optimization

Yang Liu, Bin Chong, Yuhan Lin +7

Large language models (LLMs) frequently produce \emph{detail hallucinations} when processing long regulatory documents, including subtle errors in threshold values, units, scopes,…

cs.CV2025

Can VLMs Detect and Localize Fine-Grained AI-Edited Images?

Zhen Sun, Ziyi Zhang, Zeren Luo +10

Fine-grained detection and localization of localized image edits is crucial for assessing content authenticity, especially as modern diffusion models and image editors can produce…

cs.CY2025

Humanizing LLMs: A Survey of Psychological Measurements with Tools, Datasets, and Human-Agent Applications

Wenhan Dong, Yuemeng Zhao, Zhen Sun +10

As large language models (LLMs) are increasingly used in human-centered tasks, assessing their psychological traits is crucial for understanding their social impact and ensuring tr…

cs.AI2024★ 2 cited

Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media

Zhen Sun, Zongmin Zhang, Xinyue Shen +5

Social media platforms are experiencing a growing presence of AI-Generated Texts (AIGTs). However, the misuse of AIGTs could have profound implications for public opinion, such as…