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Xiangwei Lv

2 accepted papers

2026

Learning from Long-Term Engagement: Adaptive Tutoring Dialogue Planning for Personalized Education

AAAI 2026technical

With the advancements of large language models (LLMs), intelligent tutoring systems have witnessed significant progress. The extensive knowledge and reasoning capabilities of LLMs enable intelligent tutoring systems to generate more helpful tutoring dialogues with scaffolding instructions. However,

Cited by 0SourcePDFScholar
2025

Out-of-Distribution Detection via LLM-Guided Outlier Generation for Text-attributed Graph

ACL 2025finding

Text-Attributed Graphs (TAGs), which are characterized with text attributes, are widely used in the real world. When evaluating fully trained models designed for TAG predictions, they may perform significantly unsatisfactory on samples outside the In-Distribution (ID) data, which may raise serious s…