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Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations

International Conference on Machine Learning (ICML), 2021

25 June 2021

Bodhisattwa Prasad Majumder

Papers citing "Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations"

22 / 22 papers shown

Title
Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction Jingheng Ye Shang Qin Hai-Tao Zheng Hai-Tao Zheng Shen Wang Qingsong Wen 214 1 0 24 Feb 2025
Beyond Metrics: Evaluating LLMs' Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios Millicent Ochieng Varun Gumma Sunayana Sitaram Jindong Wang Vishrav Chaudhary K. Ronen Kalika Bali Jacki OÑeill 248 7 0 01 Jun 2024
How Interpretable are Reasoning Explanations from Prompting Large Language Models? Yeo Wei Jie Frank Xing Rick Mong Xiaoshi Zhong ReLM LRM 276 34 0 19 Feb 2024
FaithLM: Towards Faithful Explanations for Large Language Models Yu-Neng Chuang Guanchu Wang Chia-Yuan Chang Ruixiang Tang Shaochen Zhong Fan Yang Mengnan Du Xuanting Cai Helen Zhou Xia Hu LRM 212 4 0 07 Feb 2024
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation Xijia Zhang Yue (Sophie) Guo Simon Stepputtis Katia Sycara Joseph Campbell LLMAG LM&Ro 153 2 0 29 Nov 2023
Using Natural Language Explanations to Improve Robustness of In-context LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Xuanli He Yuxiang Wu Oana-Maria Camburu Pasquale Minervini Pontus Stenetorp AAML 183 1 0 13 Nov 2023
To Tell The Truth: Language of Deception and Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Sanchaita Hazra Bodhisattwa Prasad Majumder HILM 155 7 0 13 Nov 2023
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks Aditi Mishra Sajjadur Rahman H. Kim Kushan Mitra Estevam R. Hruschka 271 10 0 09 Nov 2023
Learning to Follow Object-Centric Image Editing Instructions FaithfullyConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Tuhin Chakrabarty Kanishk Singh Arkadiy Saakyan Smaranda Muresan DiffM 153 10 0 29 Oct 2023
Explaining Agent Behavior with Large Language Models Xijia Zhang Yue (Sophie) Guo Simon Stepputtis Katia Sycara Joseph Campbell LM&Ro LLMAG 169 7 0 19 Sep 2023
ICLEF: In-Context Learning with Expert Feedback for Explainable Style TransferAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Arkadiy Saakyan Smaranda Muresan 208 4 0 15 Sep 2023
Learning by Self-Explaining Wolfgang Stammer Felix Friedrich David Steinmann Manuel Brack Hikaru Shindo Kristian Kersting 351 15 0 15 Sep 2023
DeViL: Decoding Vision features into Language Meghal Dani Isabel Rio-Torto Stephan Alaniz Zeynep Akata VLM 143 11 0 04 Sep 2023
Faithfulness Tests for Natural Language ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Pepa Atanasova Oana-Maria Camburu Christina Lioma Thomas Lukasiewicz J. Simonsen Isabelle Augenstein FAtt 297 83 0 29 May 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Jesus Solano Oana-Maria Camburu Pasquale Minervini 164 4 0 22 May 2023
Bridging the Transparency Gap: What Can Explainable AI Learn From the AI Act?European Conference on Artificial Intelligence (ECAI), 2023 Bálint Gyevnár Nick Ferguson Burkhard Schafer 211 27 0 21 Feb 2023
KNIFE: Distilling Reasoning Knowledge From Free-Text Rationales Aaron Chan Zhiyuan Zeng Wyatt Lake Brihi Joshi Hanjie Chen Xiang Ren ReLM LRM 159 1 0 19 Dec 2022
Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations Björn Plüster Jakob Ambsdorf Lukas Braach Jae Hee Lee S. Wermter 178 6 0 08 Dec 2022
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods Nils Feldhus Leonhard Hennig Maximilian Dustin Nasert Christopher Ebert Robert Schwarzenberg Sebastian Möller FAtt 159 22 0 13 Oct 2022
Explaining Chest X-ray Pathologies in Natural LanguageInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Maxime Kayser Cornelius Emde Oana-Maria Camburu Guy Parsons B. Papież Thomas Lukasiewicz MedIm 116 32 0 09 Jul 2022
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup Yordan Yordanov Vid Kocijan Thomas Lukasiewicz Oana-Maria Camburu 190 20 0 12 Dec 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.8K 19,183 0 16 Feb 2016