ExSum: From Local Explanations to Model Understanding

ExSum: From Local Explanations to Model Understanding

30 April 2022

Marco Tulio Ribeiro

Papers citing "ExSum: From Local Explanations to Model Understanding"

18 / 18 papers shown

Title
Explanation sensitivity to the randomness of large language models: the case of journalistic text classification Jérémie Bogaert Marie-Catherine de Marneffe Antonin Descampe Louis Escouflaire Cedrick Fairon François-Xavier Standaert 24 1 0 07 Oct 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations Supriya Manna Niladri Sett AAML 29 2 0 26 Sep 2024
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales Lucas Resck Marcos M. Raimundo Jorge Poco 47 1 0 03 Apr 2024
What is the focus of XAI in UI design? Prioritizing UI design principles for enhancing XAI user experience Dian Lei Yao He Jianyou Zeng 34 1 0 21 Feb 2024
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning Jiaqi Ma Vivian Lai Yiming Zhang Chacha Chen Paul Hamilton Davor Ljubenkov Himabindu Lakkaraju Chenhao Tan ELM 19 3 0 20 Feb 2024
Evaluating the Utility of Model Explanations for Model Development Shawn Im Jacob Andreas Yilun Zhou XAI FAtt ELM 19 1 0 10 Dec 2023
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations Shiyuan Huang Siddarth Mamidanna Shreedhar Jangam Yilun Zhou Leilani H. Gilpin LRM MILM ELM 43 66 0 17 Oct 2023
Fixing confirmation bias in feature attribution methods via semantic match Giovanni Cina Daniel Fernandez-Llaneza Ludovico Deponte Nishant Mishra Tabea E. Rober Sandro Pezzelle Iacer Calixto Rob Goedhart cS. .Ilker Birbil FAtt 25 0 0 03 Jul 2023
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies Pradyumna Tambwekar Matthew C. Gombolay 28 8 0 13 Jan 2023
Towards Faithful Model Explanation in NLP: A Survey Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 109 107 0 22 Sep 2022
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees Swarnadeep Saha Shiyue Zhang Peter Hase Joey Tianyi Zhou 26 19 0 21 Sep 2022
Gaussian Process Surrogate Models for Neural Networks Michael Y. Li Erin Grant Thomas L. Griffiths BDL SyDa 32 7 0 11 Aug 2022
On Interactive Explanations as Non-Monotonic Reasoning Guilherme Paulino-Passos Francesca Toni FAtt LRM 11 2 0 30 Jul 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 23 124 0 27 Jul 2022
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions Zulqarnain Khan Davin Hill A. Masoomi Joshua Bone Jennifer Dy AAML 41 3 0 24 Jun 2022
The Solvability of Interpretability Evaluation Metrics Yilun Zhou J. Shah 68 8 0 18 May 2022
The Irrationality of Neural Rationale Models Yiming Zheng Serena Booth J. Shah Yilun Zhou 32 16 0 14 Oct 2021
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models Robert Wolfe Aylin Caliskan 85 51 0 01 Oct 2021