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Author

Weiming Hu

3 papers indexed here

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#natural language process... Preprint Sep 2026

Schema-Anchored Latent Reasoning for Semantic Parsing-Based Knowledge Base Question Answering

Semantic parsing (SP)-based knowledge base question answering aims to answer natural language questions by generating executable logical forms (LFs) over knowledge bases (KBs). When applying Large Language Models (LLMs) to this task, a key challenge over large, heterogeneous KBs is selecting question-related schema ele...

Guang-Ze Gao, Zi-Xuan Li, Si-Kui Zhang et al. · 0 citations
#artificial intelligence Review Sep 2026

Do LLMs Have Values? A Quantitative Analysis and Alignment Framework for Values in Large Language Models

This study empirically confirms the presence of LLM values, accurately quantifies their shifts, and achieves more efficient and precise steering than conventional blind training, all without degrading general capabilities.

Kelvin Zhang, Jing-Yu-Gin Chen, Yu-Fan Liu et al. · 0 citations
Aug 2026

Scalable Image Restoration and Enhancement towards Diverse Downstream Applications

This paper proposes a scalable framework for image restoration and enhancement built upon the reinforcement learning (RL) paradigm, and confirms the model’s superior few-shot and zero-shot capabilities compared to existing methods, as well as its flexibility in addressing multiple competing objectives.

Juan Wang, Ke Zhang, Chun-Feng Yuan et al. · 0 citations

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