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Workshop
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Eye-tracking of clinician behaviour with explainable AI decision support: a high-fidelity simulation study
Myura Nagendran · Paul Festor · Matthieu Komorowski · Anthony Gordon · Aldo Faisal
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Workshop
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A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis
Jiaxiang Liu · Tianxiang Hu · Yan Zhang · Xiaotang Gai · YANG FENG · Zuozhu Liu
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Workshop
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LLM2Loss: Leveraging Language Models for Explainable Model Diagnostics
Shervin Ardeshir
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Workshop
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Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik’s Cube
Kausik Lakkaraju · Vedant Khandelwal · Biplav Srivastava · Forest Agostinelli · Hengtao Tang · Prathamjeet Singh · Dezhi Wu · Matt Irvin · Ashish Kundu
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Workshop
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Word-Level Explanations for Analyzing Bias in Text-to-Image Models
Alexander Lin · Lucas Monteiro Paes · Sree Harsha Tanneru · Suraj Srinivas · Himabindu Lakkaraju
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Workshop
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Robust Ranking Explanations
Chao Chen · Chenghua Guo · Guixiang Ma · Ming Zeng · Xi Zhang · Sihong Xie
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Workshop
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(Un)reasonable Allure of Ante-hoc Interpretability for High-stakes Domains: Transparency Is Necessary but Insufficient for Explainability
Kacper Sokol · Julia Vogt
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Workshop
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ADMIRE++: Explainable Anomaly Detection in the Human Brain via Inductive Learning on Temporal Multiplex Networks
Ali Behrouz · Margo Seltzer
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Workshop
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ADMIRE++: Explainable Anomaly Detection in the Human Brain via Inductive Learning on Temporal Multiplex Networks
Ali Behrouz · Margo Seltzer
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Workshop
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Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning
Xinyi Wang · Wanrong Zhu · Michael Saxon · Mark Steyvers · William Wang
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Poster
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Thu 16:30
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Explaining Reinforcement Learning with Shapley Values
Daniel Beechey · Thomas M. S. Smith · Özgür Şimşek
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Workshop
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Exploring the Existence of Atmospheric Blocking’s Precursor Patterns with Physics-Informed Explainable AI
Anh Nhu · Lei Wang
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