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Teaching Small Language Models to Reason.

, , , , and . ACL (2), page 1773-1781. Association for Computational Linguistics, (2023)

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Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts., , , , and . CoRR, (2023)Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis., , , , and . AAAI, page 10675-10683. AAAI Press, (2023)Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach., , , , , , and . TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 156-168. PMLR, (2023)Generative Image Inpainting for Retinal Images using Generative Adversarial Networks., and . EMBC, page 2835-2838. IEEE, (2021)Concept Distillation in Graph Neural Networks., , , , , , , and . xAI (3), volume 1903 of Communications in Computer and Information Science, page 233-255. Springer, (2023)Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis., , , , and . CoRR, (2022)Interpretable Neural-Symbolic Concept Reasoning., , , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 1801-1825. PMLR, (2023)Teaching Small Language Models to Reason., , , , and . ACL (2), page 1773-1781. Association for Computational Linguistics, (2023)GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks., , , and . CoRR, (2021)GCI: A (G)raph (C)oncept (I)nterpretation Framework., , , , , and . CoRR, (2023)