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Causal Parrots: Large Language Models May Talk Causality But Are Not Causal.

, , , and . Trans. Mach. Learn. Res., (2023)

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Effectively creating weakly labeled training examples via approximate domain knowledge, , , , , and . Inductive Logic Programming, Springer, (2015)Statistical Relational Artificial Intelligence: Logic, Probability, and Computation, , , and . Synthesis Lectures on Artificial Intelligence and Machine Learning Morgan & Claypool Publishers, (2016)Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models, , , , , , and . Proceedings of ECML, (2010)Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text, , , , , and . Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop, Bellevue, Washington, USA, July 15, 2013, volume WS-13-16 of AAAI Workshops, AAAI, (2013)Statistical Relational Artificial Intelligence: Logic, Probability, and Computation, , , and . Synthesis Lectures on Artificial Intelligence and Machine Learning Morgan & Claypool, San Rafael, CA, (2016)Graph Enhanced Memory Networks for Sentiment Analysis., , and . ECML/PKDD (1), volume 10534 of Lecture Notes in Computer Science, page 374-389. Springer, (2017)Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning., , , , , and . Mach. Learn., 83 (2): 133-135 (2011)Learning to transfer optimal navigation policies., , , , and . Adv. Robotics, 21 (13): 1565-1582 (2007)BERT has a Moral Compass: Improvements of ethical and moral values of machines., , , , and . CoRR, (2019)The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models., , and . CoRR, (2022)