By Dr Michael Bain

Preprints

Wang M; Wang J; Liu Q; Xu X; Xing Z; Zhu L; Bain M; Zhang W, 2026, Ensembling LLM-Induced Decision Trees for Explainable and Robust Error Detection, http://dx.doi.org/10.48550/arxiv.2512.07246

Wang M; Wang J; Liu Q; Xu X; Xing Z; Bain M; Zhu L; Zhang W, 2026, Interpretable Column Annotation with LLM-Symbolized Decision Process Materialization, http://dx.doi.org/10.48550/arxiv.2607.25228

Srinivasan A; Dash T; Baskar A; Bain M; Dey SK; Banerjee M, 2026, Symbolic Neural Generation with Applications to Lead Discovery in Drug Design, http://dx.doi.org/10.48550/arxiv.2510.23379

Yang W; Some L; Bain M; Kang B, 2025, A Comprehensive Survey on Integrating Large Language Models with Knowledge-Based Methods, http://dx.doi.org/10.48550/arxiv.2501.13947

Baskar A; Srinivasan A; Bain M; Coiera E, 2024, A Model for Intelligible Interaction Between Agents That Predict and Explain, http://dx.doi.org/10.48550/arxiv.2301.01819

Srinivasan A; Bain M; Coiera E, 2022, One-way Explainability Isn't The Message, http://dx.doi.org/10.48550/arxiv.2205.08954

Srinivasan A; Vig L; Bain M, 2018, Logical Explanations for Deep Relational Machines Using Relevance Information, http://dx.doi.org/10.48550/arxiv.1807.00595

Heap B; Bain M; Wobcke W; Krzywicki A; Schmeidl S, 2017, Word Vector Enrichment of Low Frequency Words in the Bag-of-Words Model for Short Text Multi-class Classification Problems, http://dx.doi.org/10.48550/arxiv.1709.05778

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