STRUM-LLM: Attributed and Structured Contrastive Summarization

arXiv:2403.19710v1 Announce Type: cross
Abstract: Users often struggle with decision-making between two options (A vs B), as it usually requires time-consuming research across multiple web pages. We propose STRUM-LLM that addresses this challenge by generating attributed, structured, and helpful contrastive summaries that highlight key differences between the two options. STRUM-LLM identifies helpful contrast: the specific attributes along which the two options differ significantly and which are most likely to influence the user's decision. Our technique is domain-agnostic, and does not …

abstract arxiv challenge contrast cs.ai cs.cl cs.ir cs.lg decision differences highlight key llm making multiple research struggle summarization type web