IEEE

Federated Discrete Prompt Tuning for Language Models Using Synthetic Examples

Abstract: Effective prompt tuning is critical for using generative AI models, such as large language models (LLMs) and small language models (SLMs), for domain-specific tasks. However, optimizing ...
IEEE

Beyond General Prompts: Automated Prompt Refinement Using Contrastive Class Alignment Scores for Disambiguating Objects in Vision-Language Models

Abstract: Vision-language models (VLMs) offer flexible object detection through natural language prompts but suffer from performance variability depending on prompt phrasing. In this paper, we ...