POLARIS trains Qwen3.5-9B via GRPO with LLM-as-judge rewards and human-reference injection, yielding a model competitive with larger open-weight models on length adherence and quality, including generalization to 3x training length.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
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Position paper claiming that AI safety requires explicit runtime controllability and introducing ControlBench to demonstrate gaps in existing alignment methods.
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POLARIS: Guiding Small Models to Write Long Stories
POLARIS trains Qwen3.5-9B via GRPO with LLM-as-judge rewards and human-reference injection, yielding a model competitive with larger open-weight models on length adherence and quality, including generalization to 3x training length.