RLSR trains source rewriters via RL with translation-quality improvement as the reward, outperforming prompt baselines at 4B scale while matching larger models.
, author Bojar, O
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Presents TextEconomizer, a transformer-based encoder-decoder for lossy text compression claiming 5.39x ratio, near-perfect semantic quality via standard metrics, and 153x fewer parameters than comparables.
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Rewrite to Translate, Translate to Reward: Reinforcement Learning for Source Rewriting in Machine Translation
RLSR trains source rewriters via RL with translation-quality improvement as the reward, outperforming prompt baselines at 4B scale while matching larger models.
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TextEconomizer: Enhancing Lossy Text Compression with Denoising Transformers and Entropy Coding
Presents TextEconomizer, a transformer-based encoder-decoder for lossy text compression claiming 5.39x ratio, near-perfect semantic quality via standard metrics, and 153x fewer parameters than comparables.