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Research questionHow can aspect-based summarizers adapt user-provided aspects when they are incomplete or irrelevant?Aspect-based summarizers may treat supplied aspects as authoritative even when they mismatch the document or omit important content. This can produce overlong, poorly focused summaries and make the intended scope unclear.
AI
Natural Language Processing
Latest papersRecent research connected to this question, newest first.CARPAS: Towards Content-Aware Refinement of Provided Aspects for Summarization in Large Language ModelsApplies to LLM-based aspect-based summarization with incomplete, irrelevant, or missing provided aspects. The source evaluates three datasets and four prompting strategies, and analyzes over-generation and compliance when requested aspect counts differ from model estimates.research paper · Sep 2, 2026
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