Author

Md. Alam Hossain

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#artificial intelligence Preprint Aug 2026

LabourCrew: A Multi-Agent RAG Framework for Trustworthy Adversarial Deliberation and Statutory Reasoning over Labour Law

In statutory question answering, every claim must be traceable to evidence, not merely relevant, since unverifiable labour-rights answers carry serious legal consequences. Current systems fall short: single-pass RAG cannot detect insufficient evidence, while multi-agent legal-debate systems treat grounding as a prompti...

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Jubayer Al Mahmud et al. · 0 citations

#artificial intelligence Review Aug 2026

CLAIR-Fin: An Adversarial Multi-Agent Framework for Claim-Level Verification and Adaptive Debate in Cross-Modal Financial QA

Existing defenses against hallucination in retrieval-augmented and multi-agent pipelines remain partial: evidence is trusted despite modality disagreement, debate verifies an aggregate report rather than individual claims, and such verification occurs only after drafting, leaving inter-agent errors undetected until the...

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Jubayer Al Mahmud et al. · 1 citation