Author

Haifeng Liu

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2026

LPDG-RAG: Leveraging Probabilistic Rewards and Dynamic Granularity for Retrieval- Augmented Generation

Retrieval-Augmented Generation (RAG) improves Large Language Models (LLMs) by incorporating external documents, but its effectiveness degrades when retrieved passages are irrelevant, incomplete, or inconsistent with parametric knowledge. We present LPDG-RAG, a post-training framework that extends reasoning-based knowle...

Hai-Feng Liu, Rui-Qi Zhao, Nan Zhao et al. · IEEE Transactions on Audio,... · 0 citations

Aug 2026

CIGMA: Causal-inspired invariant graph matching with multi-view contrastive distillation for predicting herb-symptom associations

CIGMA is proposed, a novel framework explicitly designed for out-of-distribution generalization in biological network association prediction and provides a powerful, generalizable, and interpretable framework for HSA prediction, advancing the systematic discovery of herb-based therapeutic mechanisms.

Qiuyu Long, Nan Zhao, Hai-Feng Liu et al. · Artif. Intell. Medicine · 0 citations