Introduces a parametric reservation-index policy with GMM estimation and UCB exploration for contextual LLM cascading under output-mediated feedback, claiming dimension-dependent square-root regret.
On- line cascade learning for efficient inference over streams
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
LLM cascade systems are vulnerable to a new adversarial attack that simultaneously degrades accuracy and destroys the intended cost savings by targeting both the lightweight models and the escalation decision mechanism.
citing papers explorer
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Online Pandora's Box for Contextual LLM Cascading
Introduces a parametric reservation-index policy with GMM estimation and UCB exploration for contextual LLM cascading under output-mediated feedback, claiming dimension-dependent square-root regret.
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When Efficiency Backfires: Cascading LLMs Trigger Cascade Failure under Adversarial Attack
LLM cascade systems are vulnerable to a new adversarial attack that simultaneously degrades accuracy and destroys the intended cost savings by targeting both the lightweight models and the escalation decision mechanism.