Author

Bing-De Hu

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#artificial intelligence Preprint Sep 2026

GraphCert: Bootstrap Agentic Graph Reasoning with Certified Evidence Rubrics

Graph agents extend large language models (LLMs) with the ability to actively explore and reason over knowledge graphs through multi-step interactions with graph tools. However, training capable graph agents typically requires large collections of question-answer pairs and reasoning trajectories, whose manual construct...

Wei Jiang, Yu-Chen Ying, Rui Wang et al. · 0 citations

Jul 2026

LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation

LBR is proposed, a lightweight and model-agnostic framework for mitigating length bias in LLM-based recommendation that substantially alleviates length bias while consistently improving recommendation accuracy and fairness, with negligible additional training and inference overhead.

Hongchen Li, Bohao Wang, Jing-Bang Chen et al. · arXiv.org · 0 citations