SafeGen-Bench is a benchmark with 10 malicious categories that evaluates conditional T2V models on paired start frames and text prompts, finding unsafety scores up to 44.5 and 80% guardrail failure rate.
WaveletGPT : Wavelets meet large language models
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Applies multiscale POD with Morlet scalograms to transformer attention fields to extract dominant modes per scale and reports layer-dependent scale organisation.
citing papers explorer
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SafeGen-Bench: Benchmarking Safety in Image-Conditioned Text-to-Video Generation
SafeGen-Bench is a benchmark with 10 malicious categories that evaluates conditional T2V models on paired start frames and text prompts, finding unsafety scores up to 44.5 and 80% guardrail failure rate.
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Multiscale POD of Transformer Attention Fields: Scale-Selective Analysis via Morlet Scalogram
Applies multiscale POD with Morlet scalograms to transformer attention fields to extract dominant modes per scale and reports layer-dependent scale organisation.