AI RESEARCH
PROMPT2BOX: Uncovering Entailment Structure among LLM Prompts
arXiv CS.CL
•
ArXi:2603.21438v1 Announce Type: new To discover the weaknesses of LLMs, researchers often embed prompts into a vector space and cluster them to extract insightful patterns. However, vector embeddings primarily capture topical similarity. As a result, prompts that share a topic but differ in specificity, and consequently in difficulty, are often represented similarly, making fine-grained weakness analysis difficult. To address this limitation, we propose PROMPT2BOX, which embeds prompts into a box embedding space using a trained encoder.