Exploiting Intrinsic Duality for Multi-Hop Question Generation

arXiv:2608.00712 · cs.CL · Submitted 2026-08-01 · Read on arXiv

Maodong Li, Xinyue Kang, Yuanchen Shi, Fang Kong

cs.CL

Submitted: 2026-08-01

Comments: 14 pages, 9 figures, 9 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Contrastive Learning — 11× in this paper · explained in 9 episodes
• Latent Representation — 5× in this paper · explained in 2 episodes
• Latent Representations — 5× in this paper · explained in 3 episodes
• Papers — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Ablation Study — 3× in this paper · explained in 3 episodes
• Core — 3× in this paper · explained in 2 episodes
• GNNs — 3× in this paper · explained in 2 episodes
• Multi-hop Reasoning — 3× in this paper · explained in 3 episodes
• Unified Framework — 3× in this paper · explained in 6 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Exact Match — 2× in this paper
• Generalizability — 2× in this paper · explained in 6 episodes
• Semantic Understanding — 2× in this paper · explained in 3 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decoder — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 13 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Knowledge Graph — 1× in this paper · explained in 8 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 6 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Semantic Alignment — 1× in this paper · explained in 6 episodes
• Training Objective — 1× in this paper · explained in 3 episodes
• Training Objectives — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• The Llama 3 Herd of Models
• Multi-Hop Question Generation via Dual-Perspective Keyword Guidance
• Synthetic Context Generation for Question Generation

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