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Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection
Hallucination pattern guidance leverages the most important task-specific hallucination patterns while language style alignment aligns the style of the synthetic dataset with benchmark text.
Learning from Contrastive Prompts: Automated Optimization and Adaptation
As LLMs evolve, significant effort is spent on manually crafting prompts.
Efficient Continual Pre-training for Building Domain Specific Large Language Models
We further explore simple but effective data selection strategies for continual pre-training.
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