What Makes a Good Explanation?: A Harmonized View of Properties of Explanations

10 November 2022

Finale Doshi-Velez

Papers citing "What Makes a Good Explanation?: A Harmonized View of Properties of Explanations"

21 / 21 papers shown

Title
On Explaining (Large) Language Models For Code Using Global Code-Based Explanations David Nader-Palacio Dipin Khati Daniel Rodríguez-Cárdenas Alejandro Velasco Denys Poshyvanyk LRM 42 0 0 21 Mar 2025
Axiomatic Explainer Globalness via Optimal Transport Davin Hill Josh Bone A. Masoomi Max Torop Jennifer Dy 93 1 0 13 Mar 2025
Rethinking LLM Bias Probing Using Lessons from the Social Sciences Kirsten N. Morehouse S. Swaroop Weiwei Pan 43 0 0 28 Feb 2025
Directly Optimizing Explanations for Desired Properties Hiwot Belay Tadesse Alihan Hüyük Weiwei Pan Finale Doshi-Velez FAtt 36 0 0 31 Oct 2024
The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability Aaron Mueller Jannik Brinkmann Millicent Li Samuel Marks Koyena Pal ... Arnab Sen Sharma Jiuding Sun Eric Todd David Bau Yonatan Belinkov CML 42 18 0 02 Aug 2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions Jingtan Wang Xiaoqiang Lin Rui Qiao Chuan-Sheng Foo Bryan Kian Hsiang Low TDI 35 3 0 07 Jun 2024
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning Eura Nofshin Esther Brown Brian Lim Weiwei Pan Finale Doshi-Velez 40 0 0 31 May 2024
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report) Xiang Yin Potyka Nico Francesca Toni FAtt 20 3 0 22 Apr 2024
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment Nari Johnson Sanika Moharana Christina Harrington Nazanin Andalibi Hoda Heidari Motahhare Eslami 24 7 0 21 Apr 2024
Investigating the Impact of Model Instability on Explanations and Uncertainty Sara Vera Marjanović Isabelle Augenstein Christina Lioma AAML 35 0 0 20 Feb 2024
CAFE: Conflict-Aware Feature-wise Explanations Adam Dejl Hamed Ayoobi Matthew Williams Francesca Toni FAtt BDL 13 2 0 31 Oct 2023
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report) Xiang Yin Nico Potyka Francesca Toni 13 7 0 25 Jul 2023
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations Susanne Dandl Giuseppe Casalicchio Bernd Bischl Ludwig Bothmann 21 8 0 04 May 2023
Why is plausibility surprisingly problematic as an XAI criterion? Weina Jin Xiaoxiao Li Ghassan Hamarneh 47 3 0 30 Mar 2023
Who's Thinking? A Push for Human-Centered Evaluation of LLMs using the XAI Playbook Teresa Datta John P. Dickerson 31 9 0 10 Mar 2023
COMET: Neural Cost Model Explanation Framework Isha Chaudhary Alex Renda Charith Mendis Gagandeep Singh 14 2 0 14 Feb 2023
Explaining Image Classification with Visual Debates Avinash Kori Ben Glocker Francesca Toni 25 1 0 17 Oct 2022
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 590 0 31 Dec 2020
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 137 656 0 28 Dec 2020
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 120 297 0 17 Oct 2019
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014