InsightGen uses thematic clustering and graph neighborhood selection to generate diverse, relevant insights for open-ended document-grounded questions and releases the SCOpE-QA dataset of 3000 questions.
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cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A two-phase non-parametric retrieval workflow that separates high-recall candidate retrieval from high-precision utility ranking with LLM-as-a-Judge scoring for evidence extraction in multilingual financial documents.
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An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QA
InsightGen uses thematic clustering and graph neighborhood selection to generate diverse, relevant insights for open-ended document-grounded questions and releases the SCOpE-QA dataset of 3000 questions.
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Beyond Semantic Similarity: A Two-Phase Non-Parametric Retrieval Workflow for Corporate Credit Underwriting
A two-phase non-parametric retrieval workflow that separates high-recall candidate retrieval from high-precision utility ranking with LLM-as-a-Judge scoring for evidence extraction in multilingual financial documents.