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Author

Yuzhang Shang

2 papers indexed here

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#artificial intelligence Preprint Oct 2026

Encode Once, Answer Many: Internalizing Context via Parametric Flow

On document question answering, CLIK substantially improves over the no-context base model and outperforms existing hypernetwork-based generators, while remaining behind a base model that reads the context directly, and it carries over to multi-turn dialogue without any multi-turn-specific training.

Xin-Hao Zhong, Meng-Xuan Wu, Chong-Hua Liao et al. · 0 citations

Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization

Semi-DPO is proposed, a semi-supervised approach that treats consistent pairs as clean labeled data and conflicting ones as noisy unlabeled data and significantly improves alignment with complex human preferences, without requiring additional human annotation or explicit reward models during training.

Xinxing Liu, Ming Li, Zonglin Lyu et al. · 5 citations

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