The anticipatory paradigm von Amos‐Binks, Adam, Dannenhauer, Dustin, Gilpin, Leilani H.

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Reports of the AAAI 2019 Spring Symposium Series von Baldini, Ioana, Barrett, Clark, Chella, Antonio, Cinelli, Carlos, Gamez, David, Gilpin, Leilani H., Hinkelmann, Knut, Holmes, Dylan, Kido, Takashi, Kocaoglu, Murat, Lawless, William F., Lomuscio, Alessio, Macbeth, Jamie C., Martin, Andreas, Mittu, Ranjeev, Patterson, Evan, Sofge, Donald, Tadepalli, Prasad, Takadama, Keiki, Wilson, Shomir

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ProSLM: A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering von Vakharia, Priyesh, Kufeldt, Abigail, Meyers, Max, Lane, Ian, Gilpin, Leilani H.

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Convolutional Neural Network Model for Diabetic Retinopathy Feature Extraction and Classification von Subramanian, Sharan, Gilpin, Leilani H

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Towards a fuller understanding of neurons with Clustered Compositional Explanations von La Rosa, Biagio, Gilpin, Leilani H, Capobianco, Roberto

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Anticipatory Thinking Challenges in Open Worlds: Risk Management von Amos-Binks, Adam, Dannenhauer, Dustin, Gilpin, Leilani H

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Convolutional Neural Network Model for Diabetic Retinopathy Feature Extraction and Classification von Subramanian, Sharan, Gilpin, Leilani H

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Slug Mobile: Test-Bench for RL Testing von Morris, Jonathan Wellington, Shah, Vishrut, Besanceney, Alex, Shah, Daksh, Gilpin, Leilani H

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Right this way: Can VLMs Guide Us to See More to Answer Questions? von Liu, Li, Yang, Diji, Zhong, Sijia, Tholeti, Kalyana Suma Sree, Ding, Lei, Zhang, Yi, Gilpin, Leilani H

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Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations von Huang, Shiyuan, Mamidanna, Siddarth, Jangam, Shreedhar, Zhou, Yilun, Gilpin, Leilani H

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"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI von Gilpin, Leilani H, Paley, Andrew R, Alam, Mohammed A, Spurlock, Sarah, Hammond, Kristian J

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Towards a fuller understanding of neurons with Clustered Compositional Explanations von Biagio La Rosa, Gilpin, Leilani H, Capobianco, Roberto

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Anticipatory Thinking Challenges in Open Worlds: Risk Management von Amos-Binks, Adam, Dannenhauer, Dustin, Gilpin, Leilani H

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Explaining Explanations to Society von Gilpin, Leilani H, Testart, Cecilia, Fruchter, Nathaniel, Adebayo, Julius

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Slug Mobile: Test-Bench for RL Testing von Jonathan Wellington Morris, Shah, Vishrut, Besanceney, Alex, Shah, Daksh, Gilpin, Leilani H

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Right this way: Can VLMs Guide Us to See More to Answer Questions? von Liu, Li, Yang, Diji, Zhong, Sijia, Kalyana Suma Sree Tholeti, Ding, Lei, Zhang, Yi, Gilpin, Leilani H

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Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations von Huang, Shiyuan, Mamidanna, Siddarth, Jangam, Shreedhar, Zhou, Yilun, Gilpin, Leilani H

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"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI von Gilpin, Leilani H, Paley, Andrew R, Alam, Mohammed A, Spurlock, Sarah, Hammond, Kristian J

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Explaining Explanations: An Overview of Interpretability of Machine Learning von Gilpin, Leilani H, Bau, David, Yuan, Ben Z, Bajwa, Ayesha, Specter, Michael, Kagal, Lalana

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Explaining Explanations to Society von Gilpin, Leilani H, Testart, Cecilia, Fruchter, Nathaniel, Adebayo, Julius

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