activity
20242026
most citedRU-AI: A Large Multimodal Dataset for Machine-Generated Content Detection

5 citations · 7 across the 7 of their papers we have counts for

collaborators

9 papers

cs.AI2026

REACT: Physically and Chemically Consistent Reconstruction of Marine Active Tracers

Wenbin Dai, Hao Zheng, Shiyu Liang +6

Reconstructing global sea surface pH from sparse observations is critical for monitoring ocean acidification and understanding marine carbon cycling. Traditional assimilation and i…

cs.CV2026

Reflection Anchors for Propagation-Aware Visual Retention in Long-Chain Multimodal Reasoning

Xuan Gong, Hanbo Huang, Hao Zheng +4

Long chain-of-thought (CoT) reasoning improves large vision--language models, but visual information often fades during generation, limiting long-horizon multimodal reasoning. Exis…

cs.CR2026

RLSpoofer: A Lightweight Evaluator for LLM Watermark Spoofing Resilience

Hanbo Huang, Xuan Gong, Yiran Zhang +2

Large language model (LLM) watermarking has emerged as a promising approach for detecting and attributing AI-generated text, yet its robustness to black-box spoofing remains insuff…

cs.LG2025

Convergence Dynamics of Over-Parameterized Score Matching for a Single Gaussian

Yiran Zhang, Weihang Xu, Mo Zhou +2

Score matching has become a central training objective in modern generative modeling, particularly in diffusion models, where it is used to learn high-dimensional data distribution…

cs.CR2025

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks

Hanbo Huang, Yiran Zhang, Hao Zheng +5

Large language model (LLM) watermarking has shown promise in detecting AI-generated content and mitigating misuse, with prior work claiming robustness against paraphrasing and text…

cs.AI2025

SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewards

Jixiang Hong, Yiran Zhang, Guanzhong Wang +3

Building upon large language models (LLMs), recent large multimodal models (LMMs) unify cross-model understanding and generation into a single framework. However, LMMs still strugg…

cs.CL2025★ 1 cited

From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation

Zhihao Zhang, Yiran Zhang, Xiyue Zhou +4

Infodemics and health misinformation have significant negative impact on individuals and society, exacerbating confusion and increasing hesitancy in adopting recommended health mea…

cs.CV2024★ 5 cited

RU-AI: A Large Multimodal Dataset for Machine-Generated Content Detection

Liting Huang, Zhihao Zhang, Yiran Zhang +2

The recent generative AI models' capability of creating realistic and human-like content is significantly transforming the ways in which people communicate, create and work. The ma…

cs.CL2024★ 1 cited

Game-MUG: Multimodal Oriented Game Situation Understanding and Commentary Generation Dataset

Zhihao Zhang, Feiqi Cao, Yingbin Mo +3

The dynamic nature of esports makes the situation relatively complicated for average viewers. Esports broadcasting involves game expert casters, but the caster-dependent game comme…