19 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection
Yong Xie, Karan Aggarwal, Aitzaz Ahmad +1
We present a novel approach to automatically generate non-trivial task-specific synthetic datasets for hallucination detection. Our approach features a two-step generation-selectio…
cs.CL2024
Learning from Contrastive Prompts: Automated Optimization and Adaptation
Mingqi Li, Karan Aggarwal, Yong Xie +2
As LLMs evolve, significant effort is spent on manually crafting prompts. While existing prompt optimization methods automate this process, they rely solely on learning from incorr…
cs.CL2023★ 19 cited
Efficient Continual Pre-training for Building Domain Specific Large Language Models
Yong Xie, Karan Aggarwal, Aitzaz Ahmad
Large language models (LLMs) have demonstrated remarkable open-domain capabilities. LLMs tailored for a domain are typically trained entirely on domain corpus to excel at handling…