Author

Liang Zhao

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#machine learning Preprint Sep 2026

onPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction

We present onPanda, an interactive tool for efficiently annotating LLM alignment data and agent trajectories. onPanda adopts token-level correction as its core interaction: while reading a model response, the annotator locates the first inappropriate token and either picks a substitute from the model's candidate tokens...

Lei Yang, Meng-Yin Liu, Jia Wang et al. · 0 citations

Open access Jun 2026

A cost-effective approach for knowledge graph reasoning path retrieval and enhanced large language model reliability

Large Language Models (LLMs) often face challenges in performing reliable multi-hop reasoning due to issues such as incomplete evidence chains and hallucinations. Incorporating knowledge graphs (KGs) can mitigate these problems, but existing approaches either suffer from suboptimal accuracy or are computationally exp...

Zhe Wang, Hao Jia, Liang Zhao et al. · PeerJ Computer Science · 0 citations