Ke Peng

Semantic Flow Regularization: Teaching LLMs to Generate Diverse Yet Coherent Responses

Semantic Flow Regularization (SFR), a lightweight auxiliary objective that supervises the backbone with continuous sentence-encoder embeddings of future segments via conditional flow matching, improves output diversity, style fidelity, and response quality over SFT on a large-scale industrial dialogue dataset.