Kerui Peng
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126
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NLP×1AI×1
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2026
Semantic Flow Regularization: Teaching LLMs to Generate Diverse Yet Coherent Responses
The paper introduces Semantic Flow Regularization (SFR), an auxiliary objective that significantly improves the diversity and quality of LLM responses when fine-tuned for specific styles or personas, without increasing deployment cost.
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