Segment-level reward modeling with entropy-based segmentation and location-aware reward normalization improves PPO-based RLHF on three instruction-following benchmarks relative to bandit and token-level baselines.
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Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model
Segment-level reward modeling with entropy-based segmentation and location-aware reward normalization improves PPO-based RLHF on three instruction-following benchmarks relative to bandit and token-level baselines.