Titlebook: Artificial Intelligence XL; 43rd SGAI Internatio Max Bramer,Frederic Stahl Conference proceedings 2023 The Editor(s) (if applicable) and Th

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Christel Gärtner,Heidemarie Winkelt directly observe. The system consists of a virtual problem (in this case a simple game), a simulated user capable of answering natural language questions that can observe and perform actions on the problem, and a Deep Q-Network (DQN)-based chatbot architecture. The chatbot is trained with the goal

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Hansjörg Schmid,Amir Sheikhzadegans, an instance-based post-hoc explanation method, aim to demonstrate how a model’s prediction can be changed with minimal effort by presenting a hypothetical example. In addition to counterfactual explanation methods, feature attribution techniques such as SHAP (SHapley Additive exPlanations) have a

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https://doi.org/10.1007/978-3-031-47994-6artificial intelligence; computer systems; deep learning; machine learning; mathematics; Neural Networks;

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Intermediate Task Ensembling for Sarcasm Detectionvelopers use computational methods to parse, process, and understand an ever-increasing volume of natural language text. While recent advances in natural language processing and large language models have improved access to state-of-the-art performance, partly through the evolution of pre-training a

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