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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Yilin Wang

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Preprint Aug 2026

MEGRAG: Multi-Granular Evidence Graphs for Answer-Aware Multi-Hop RAG

MEGRAG is an answer-aware framework that represents multi-hop reasoning as a path-structured multi-granular evidence graph and uses the resulting intermediate answer and prior reasoning to decide whether the Initial Query has been resolved.

Weidong Bao, Yingying Sun, Jun Yang et al. · 0 citations
Preprint Aug 2026

Better Decomposition, Free Aggregation: A Synthesizer-Folding Framework for Multilingual Multi-Hop Question Answering

The method Syfer is introduced, a synthesizer-folding framework for multilingual multi-hop question answering that defers translation rather than applying it by default and attains competitive accuracy while striking a favourable balance between performance and computational cost.

Yilin Wang, Yuchun Fan, Weidong Bao et al. · 0 citations

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