Jointly training multi-hop question generation with question answering through alignment and contrastive losses improves generated question quality on HotpotQA and MuSiQue over vanilla backbones.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Exploiting Intrinsic Duality for Multi-Hop Question Generation
Jointly training multi-hop question generation with question answering through alignment and contrastive losses improves generated question quality on HotpotQA and MuSiQue over vanilla backbones.