Computer Vision and Pattern Recognition · Computer Science
Distance-Aware eXplanation Based Learning
Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee
2023-09-12
Machine Learning · Computer Science
Leveraging Explanations in Interactive Machine Learning: An Overview
Stefano Teso, Öznur Alkan, Wolfang Stammer, Elizabeth Daly
2022-10-11
Computation and Language · Computer Science
Explainable machine learning multi-label classification of Spanish legal judgements
Francisco de Arriba-Pérez, Silvia García-Méndez, Francisco J. González-Castaño, Jaime González-González
2024-05-29
Computation and Language · Computer Science
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning
Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin +4
2023-11-14
Machine Learning · Statistics
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations
Neil Jethani, Mukund Sudarshan, Yindalon Aphinyanaphongs, Rajesh Ranganath
2021-03-03
Computation and Language · Computer Science
ELAD: Explanation-Guided Large Language Models Active Distillation
Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu +1
2024-11-21
Machine Learning · Computer Science
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations
Zixi Chen, Varshini Subhash, Marton Havasi, Weiwei Pan +1
2024-07-15
Machine Learning · Computer Science
Learning to Scaffold: Optimizing Model Explanations for Teaching
Patrick Fernandes, Marcos Treviso, Danish Pruthi, André F. T. Martins +1
2022-12-01
Computation and Language · Computer Science
Inference to the Best Explanation in Large Language Models
Dhairya Dalal, Marco Valentino, André Freitas, Paul Buitelaar
2025-03-04
Computation and Language · Computer Science
Interactively Providing Explanations for Transformer Language Models
Felix Friedrich, Patrick Schramowski, Christopher Tauchmann, Kristian Kersting
2022-03-14
Human-Computer Interaction · Computer Science
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability
Jesse Josua Benjamin, Christoph Kinkeldey, Claudia Müller-Birn, Tim Korjakow +1
2022-01-19
Computation and Language · Computer Science
Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study
Mahdi Dhaini, Juraj Vladika, Ege Erdogan, Zineb Attaoui +1
2025-11-12
Computation and Language · Computer Science
Extensible Embedding: A Flexible Multipler For LLM's Context Length
Ninglu Shao, Shitao Xiao, Zheng Liu, Peitian Zhang
2024-02-20
Computation and Language · Computer Science
Unsupervised Explanation Generation for Machine Reading Comprehension
Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu
2020-11-16
Robotics · Computer Science
Explaining Autonomy: Enhancing Human-Robot Interaction through Explanation Generation with Large Language Models
David Sobrín-Hidalgo, Miguel A. González-Santamarta, Ángel M. Guerrero-Higueras, Francisco J. Rodríguez-Lera +1
2024-02-07
Computation and Language · Computer Science
BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
Kun Luo, Zheng Liu, Shitao Xiao, Kang Liu
2024-02-20
Computation and Language · Computer Science
Complementary Explanations for Effective In-Context Learning
Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov +2
2023-06-14