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Yunhao Wang

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#artificial intelligence Open access Oct 2026

AFCS: Atomic-Fact-Conditioned Synthesis for Factual Knowledge Pretraining

AFCS (Atomic-Fact-Conditioned Synthesis), a pipeline that first extracts source-supported atomic facts and then uses each retained fact to drive generation, outperforms WRAP and Nemotron-CC on SimpleQA, SimpleQA Verified, PopQA, and HotpotQA.

Yun-Hao Wang, Feng Zhang, Ting-Ting Yu et al. · 0 citations
Preprint Aug 2026

DocPO: Advancing Document Policy Optimization via Tailored Step-Aware Rewards

This work proposes Step-Aware Annealing (SAA), a plug-and-play reward sharpening mechanism that progressively increases reward curvature during training, amplifying subtle quality differences among high-scoring samples while preserving stability in early learning.

Yunhao Wang, Bing-Hong Wu, Zhenyu Huang et al. · 0 citations
Preprint Jul 2026

MORE: A Multilingual Document Parsing Benchmark and Evaluation

Multilingual documents encapsulate rich regional cultures, scientific discoveries, and historical records. Parsing this content into structured, machine-readable formats is critical for unlocking global knowledge. However, existing benchmarks predominantly focus on high-resource languages like English and Chinese, crea...

Long Xu, Binghong Wu, Ting-Ting Yu et al. · 3 citations

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