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cs.CL2026
SMADE-IE: Sparse Multi-Agent Framework with Evidence-Driven Debate for Zero-Shot Information Extraction
Kenfeng Huang, Yi Cai, Xin Wu +2
Zero-shot information extraction (IE) with large language models (LLMs) enables adaptation to new schemas and domains without task-specific training. Existing methods mainly follow…
cs.CL2026
QO-Bench: Diagnosing Query-Operator-Preserving Retrieval over Typed Event Tuples
Mengao Zhang, Xiang Yang, Chang Liu +2
Many real-world questions over business, legal, and scientific corpora are natural-language versions of database-style queries over records latent in text. Existing retrieval-augme…