Si-Fan Zhou

ContrastSFT: Contrastive Logit Regularization Supervised Fine-Tuning for Mitigating Hallucinations in Large Language Models

Large Language Models (LLMs) have achieved remarkable success in natural language generation but remain prone to hallucinations—generating content that is fluent but factually incorrect. While recent inference-time interventions like Contrastive Decoding (CD) effectively mitigate this by penalizing tokens favored by...