Author

Leixian Shen

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#artificial intelligence Review Oct 2026

QuAD: Quantitative Assessment via Distribution-Alignment for Qualitative Data Quality Enabled by a Content-Aware Multi-Agent System

QuAD, a framework for quantitative pre-analysis assessment of qualitative response datasets, is introduced and a content-aware multi-agent system with two-stage instruction generation and adaptive anchors to improve scoring consistency is proposed.

Wen-Shuo Zhang, Leixian Shen, Qi-Qi Zhou et al. · 0 citations

Preprint Aug 2026

TACT: Taxonomy-Aligned Post-Training for Pedagogically Adaptive English Tutoring

This work presents TACT (Taxonomy-Aligned Conversational Tutor), a human-grounded framework for post-training and evaluating pedagogically adaptive ESL tutors and develops two complementary taxonomies: the Tutor-Strategy Taxonomy with 13 tutor response strategies and the Student-Move Taxonomy characterizing learner beh...

Dongjie Yang, Siya Lin, Leixian Shen et al. · 0 citations