Video temporal grounding supports applications such as video search, content review, and automated editing by localizing events described in natural language. Yet existing generative models typically output timestamps without explicit interval-level confidence scores to guide candidate selection. We separate candidate...
Jin-Hao Chen, Ben-Lei Cui, Rui-Jian Jia et al.· 0 citations
Quantile-Guided Density Estimation (QGDE), which approximates this distribution with multiple quantile trends and uses local density weighting to produce token-level estimates and suggests that released tokenizer vocabularies provide a useful signal for fine-grained corpus estimation beyond coarse composition inference...
Qingjie Zhang, Xing-Zhang Ren, Zi-Xuan Chen et al.· 0 citations
This work proposes Sampled-BPE, a lightweight token-level auditing pipeline that sample a small subset and train BPE tokenizer to surface polluted tokens, and releases a hierarchical Chinese web token dataset with 660k+ token records, organized as trees to support review and tracing of pollution.
Qingjie Zhang, Ziqi Tang, Jie Zhang et al.· 0 citations
EvoHarmBench is presented, the first dynamic adversarial evaluation framework for content moderation systems that employs an iterative optimization loop that evolves evasion strategies at the semantic-cluster level, while simultaneously optimizing for evasion success and human readability.
Ruijie Jian, Ben-Lei Cui, Ting Ma et al.· 0 citations
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