Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models
Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models explores Train language models to generate diverse, well-calibrated answers for tasks with inherent uncertainty, offering a compute-efficient alternative to repeated sampling.. Commercial viability score: 7/10 in LLM Reasoning.
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