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Workshop
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TabCBM: Concept-based Interpretable Neural Networks for Tabular Data
Mateo Espinosa Zarlenga · Zohreh Shams · Michael Nelson · Been Kim · Mateja Jamnik
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Workshop
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Why do universal adversarial attacks work on large language models?: Geometry might be the answer
Varshini Subhash · Anna Bialas · Siddharth Swaroop · Weiwei Pan · Finale Doshi-Velez
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Workshop
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HateXplain2.0: An Explainable Hate Speech Detection Framework Utilizing Subjective Projection from Contextual Knowledge Space to Disjoint Concept Space
Md Fahim · Md Shihab Shahriar · Sabik Irbaz · Syed Ishtiaque Ahmed · Mohammad Ruhul Amin
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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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Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents
Zihao Wang · Shaofei Cai · Guanzhou Chen · Anji Liu · Xiaojian Ma · Yitao Liang
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Workshop
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Is Task-Agnostic Explainable AI a Myth?
Alicja Chaszczewicz
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Workshop
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A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions
Daniel Lundstrom · Ali Ghafelebashi · Meisam Razaviyayn
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Workshop
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Are Good Explainers Secretly Human-in-the-Loop Active Learners?
Emma Thuong Nguyen · Abhishek Ghose
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Workshop
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Fri 14:10
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Learning to Explain Hypergraph Neural Networks
Sepideh Maleki · Ehsan Hajiramezanali · Gabriele Scalia · Tommaso Biancalani · Kangway Chuang
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Workshop
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Fri 18:20
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Invited talk: Dr. Judy Gichoya - Titie: Harnessing the ability of AI models to detect hidden signals - how can we explain these findings?
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Workshop
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Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability
Usha Bhalla · Suraj Srinivas · Himabindu Lakkaraju
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Workshop
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Is Task-Agnostic Explainable AI a Myth?
Alicja Chaszczewicz
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