Author

Junhua Ding

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Preprint Aug 2026

Lexical Perturbations Disrupt LLM Reasoning: An Empirical Study of Attention Diversion

Attention Diversion explains why inference-time strategies, including chain-of-thought prompting, spell-checking, self-repair, and stronger repair models, fail to consistently recover performance: each addresses one channel at a time.

Jiaqi Zhu, Yang Zhang, Junhua Ding et al. · 0 citations

Aug 2026

Quality-aware multi-source data fusion and enhancement for Medical Concept Normalization using Large Language Models.

This study finds that existing MCN benchmarks present data quality issues and underexplored data fusion potential, and data quality enhancement and LLM-based controlled-variety data augmentation help alleviate overlapping phrases and long-tail issues.

Yuhan Zhou, Ruochi Li, Ana Cleveland et al. · Journal of Biomedical Inform... · 0 citations