Author

Saeid Shokoufa

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#artificial intelligence Preprint Oct 2026

Sharpen Without Search: On-Policy Distillation of Sequence-Level Power Distribution

A language model can give a correct answer more probability than any single incorrect answer and still usually sample an incorrect one, because the incorrect answers together hold more probability. The power distribution raises each complete answer's probability to a power above one and renormalizes, shifting probabili...

Erfan Baghaei Potraghloo, Seyedarmin Azizi, Arya Fayyazi et al. · 0 citations

Preprint Aug 2026

Fair on the Surface? Benchmarking Hidden-Output Fairness Gaps in LLM Recommenders

Fairness audits for LLM-based recommenders have largely focused on observable outputs, implicitly assuming that stable recommendations reflect stable internal processing. We challenge this assumption with FairGap, the first benchmark to jointly evaluate recommendation fairness at two levels: observable output shift (OB...

Changyu Lu, Arya Fayyazi, Junhao Zhang et al. · 0 citations

Preprint Aug 2026

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors

HYMELL is introduced, a hybrid three-level framework for estimating LLM inference latency and energy by combining analytical modeling with machine learning (ML), which enables fast, hardware-free design space exploration and energy-efficient optimization.

Saeid Shokoufa, Mohammad Erfan Sadeghi, M. Kamal et al. · 0 citations