Papers with multi-agent synthesis framework

1 papers
NaturalSloth: Revisiting Denial-of-Service Attacks on Large Language Models (2026.acl-long)

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Challenge: Longer generations consume more GPU time, increase latency, and reduce throughput in multi-tenant systems.
Approach: They propose an adversarial dataset of natural instruction-based DoS prompts to scale the dataset while preserving malicious intent and increasing semantic diversity.
Outcome: The proposed framework scales with a human-curated seed set of natural instruction-based DoS prompts while preserving malicious intent and increasing semantic diversity.

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