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Muhammad Shahnawaz

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#reinforcement learning Open access Sep 2026

Preference Optimization for Open-Weight Language Models: A Survey and Low-Resource RLHF Case Study

Open-weight language-model post-training combines preference learning, reinforcement learning, verifiable feedback, and increasingly, agentic training and on-policy distillation. Comparing these systems requires separating their optimization algorithms from their feedback sources, sampling procedures, and evaluation ta...

Irtiqa Haider, Muhammad Shahnawaz · Preprints.org · 0 citations