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Author

Moontae Lee

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#artificial intelligence Preprint Sep 2026

HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment

HARISSA fine-tunes the model so that both states predict correctness, then makes both decisions with one policy that cascades through the ways of answering from cheapest to most expensive, skipping a way the prefill state predicts will fail and deferring the query when the answer it stops with is predicted wrong.

Kenan Alkiek, Moontae Lee, David Jurgens et al. · 0 citations
#natural language process... Preprint Aug 2026

Co-Evolving Actor-Conditioned Critics for Non-Verifiable Generation

TAIScore (Targeted Actionable Improvement Score), a reward that evaluates the instruction, initial response, critique, and revision together, assessing whether the critique targets a real weakness, whether the actor follows it, and whether the intended aspect improves, is introduced.

Jinyoung Kim, Muhammad Khalifa, L. Logeswaran et al. · 0 citations

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