Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations

25 February 2017

Papers citing "Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations"

25 / 25 papers shown

Title
Exploring Explainable Multi-player MCTS-minimax Hybrids in Board Game Using Process Mining Yiyu Qian Tim Miller Zheng Qian Liyuan Zhao 39 0 0 30 Mar 2025
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations Jesus Solano Oana-Maria Camburu Pasquale Minervini 20 1 0 22 May 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 56 10 0 13 Apr 2023
Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language Rita Sevastjanova Mennatallah El-Assady LRM 35 9 0 14 Jul 2022
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios Francisco Cruz Charlotte Young Richard Dazeley Peter Vamplew 30 9 0 07 Jul 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 22 52 0 17 Feb 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 36 15 0 27 Jan 2022
Towards Relatable Explainable AI with the Perceptual Process Wencan Zhang Brian Y. Lim AAML XAI 25 62 0 28 Dec 2021
Reframing Human-AI Collaboration for Generating Free-Text Explanations Sarah Wiegreffe Jack Hessel Swabha Swayamdipta Mark O. Riedl Yejin Choi 21 142 0 16 Dec 2021
Few-Shot Self-Rationalization with Natural Language Prompts Ana Marasović Iz Beltagy Doug Downey Matthew E. Peters LRM 26 106 0 16 Nov 2021
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model Alexander Sieusahai Matthew J. Guzdial 35 13 0 07 Oct 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations Upol Ehsan Samir Passi Q. V. Liao Larry Chan I-Hsiang Lee Michael J. Muller Mark O. Riedl 32 85 0 28 Jul 2021
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach Johannes Rabold M. Siebers Ute Schmid 25 14 0 15 Jun 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 33 48 0 20 Mar 2021
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery Devleena Das Siddhartha Banerjee Sonia Chernova 17 113 0 05 Jan 2021
The Pragmatic Turn in Explainable Artificial Intelligence (XAI) Andrés Páez 8 190 0 22 Feb 2020
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning Fan Yang Mengnan Du Xia Hu XAI ELM 27 66 0 16 Jul 2019
Generation of Policy-Level Explanations for Reinforcement Learning Nicholay Topin Manuela Veloso 16 71 0 28 May 2019
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions Upol Ehsan Pradyumna Tambwekar Larry Chan Brent Harrison Mark O. Riedl 19 237 0 11 Jan 2019
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts Samuel Carton Qiaozhu Mei Paul Resnick FAtt AAML 19 34 0 01 Sep 2018
Contrastive Explanations with Local Foil Trees J. V. D. Waa M. Robeer J. Diggelen Matthieu J. S. Brinkhuis Mark Antonius Neerincx FAtt 19 82 0 19 Jun 2018
Explain Yourself: A Natural Language Interface for Scrutable Autonomous Robots Javier Chiyah-Garcia D. A. Robb Xingkun Liu A. Laskov P. Patrón H. Hastie 16 25 0 06 Mar 2018
Using Program Induction to Interpret Transition System Dynamics Svetlin Penkov S. Ramamoorthy AI4CE 25 11 0 26 Jul 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015