Dehan Li
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126
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NLP×1AI×1
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2026
Source-Grounded Semantic Reinforcement Learning for Low-Resource Target-Language Generation
The paper introduces Source-Grounded Semantic Reinforcement Learning (SG-SRL), a framework that leverages abundant source-language monolingual data to improve target-language generation in low-resource settings by providing cross-lingual semantic supervision.
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Papers
cs.CLcs.AIRecentMay 28, 2026
Source-Grounded Semantic Reinforcement Learning for Low-Resource Target-Language Generation
Zeli Su, Ziyin Zhang, Zewei Pan, Zhou Liu +7 more
The paper introduces Source-Grounded Semantic Reinforcement Learning (SG-SRL), a framework that leverages abundant source-language monolingual data to improve target-language generation in low-resourc…
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