Author

T. Koike-Akino

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Jul 2026

Beyond Heavy Log Curation: Perplexity-Based APT Detection via Unsupervised, Context-Augmented Language Models

CAPTAIN (Context-Augmented Perplexity-based Threat Activity log detectIoN), a perplexity-based detector that leverages general, pre-trained language models with minimal, domain-agnostic preprocessing, enabling robust scoring of long, minimally processed log entries, is proposed.

Shoya Otsu, Kei Suzuki, T. Koike-Akino et al. · arXiv.org · 0 citations

Jul 2026

Training Language Models to Cooperate with Inference-Time Controllers

CALM (Controller-Aware Language Models), a post-training framework that explicitly places controllers in the training loop, is introduced, showing that controller-aware post-training improves generalization across inference-time workflows beyond single-controller optimization.

Moumita Choudhury, Vanshaj Khattar, Jing Liu et al. · arXiv.org · 0 citations