NILE : Natural Language Inference with Faithful Natural Language Explanations

25 May 2020

Papers citing "NILE : Natural Language Inference with Faithful Natural Language Explanations"

46 / 46 papers shown

Title
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures Ekaterina Sviridova Anar Yeginbergen A. Estarrona Elena Cabrio S. Villata Rodrigo Agerri 42 2 0 07 Oct 2024
Enhancing adversarial robustness in Natural Language Inference using explanations Alexandros Koulakos Maria Lymperaiou Giorgos Filandrianos Giorgos Stamou SILM AAML 40 0 0 11 Sep 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 38 10 0 27 Jul 2024
Aligning Knowledge Graphs Provided by Humans and Generated from Neural Networks in Specific Tasks Tangrui Li Jun Zhou 35 0 0 23 Apr 2024
Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits Shashank Sonkar Naiming Liu D. B. Mallick Richard G. Baraniuk 35 4 0 22 Apr 2024
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales Lucas Resck Marcos M. Raimundo Jorge Poco 44 1 0 03 Apr 2024
Learning To Guide Human Decision Makers With Vision-Language Models Debodeep Banerjee Stefano Teso Burcu Sayin Andrea Passerini 37 1 0 25 Mar 2024
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations Yanda Chen Ruiqi Zhong Narutatsu Ri Chen Zhao He He Jacob Steinhardt Zhou Yu Kathleen McKeown LRM 26 47 0 17 Jul 2023
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture Bingsheng Yao Ishan Jindal Lucian Popa Yannis Katsis Sayan Ghosh ... Yuxuan Lu Shashank Srivastava Yunyao Li James A. Hendler Dakuo Wang 32 10 0 22 May 2023
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach Masahiro Kaneko Graham Neubig Naoaki Okazaki 33 6 0 19 May 2023
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations Bingsheng Yao Prithviraj Sen Lucian Popa James A. Hendler Dakuo Wang XAI ELM FAtt 23 10 0 04 May 2023
Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation Nan-Jiang Jiang Chenhao Tan M. Marneffe 27 2 0 24 Apr 2023
Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes Justin Reppert Ben Rachbach Charlie George Luke Stebbing Ju-Seung Byun Maggie Appleton Andreas Stuhlmuller ReLM LRM 38 17 0 04 Jan 2023
ExPUNations: Augmenting Puns with Keywords and Explanations Jiao Sun Anjali Narayan-Chen Shereen Oraby Alessandra Cervone Tagyoung Chung Jing Huang Yang Liu Nanyun Peng 19 10 0 24 Oct 2022
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations Jialin Yu Alexandra I. Cristea Anoushka Harit Zhongtian Sun O. Aduragba Lei Shi Noura Al Moubayed 23 10 0 02 Sep 2022
Generating Intermediate Steps for NLI with Next-Step Supervision Deepanway Ghosal Somak Aditya Monojit Choudhury LRM 35 1 0 31 Aug 2022
Faithful Reasoning Using Large Language Models Antonia Creswell Murray Shanahan ReLM LRM 18 120 0 30 Aug 2022
FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text Rationales Aaron Chan Shaoliang Nie Liang Tan Xiaochang Peng Hamed Firooz Maziar Sanjabi Xiang Ren 40 9 0 02 Jul 2022
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment Zichao Li Prakhar Sharma Xing Han Lù Jackie C.K. Cheung Siva Reddy HAI 25 26 0 06 Apr 2022
Interpretation of Black Box NLP Models: A Survey Shivani Choudhary N. Chatterjee S. K. Saha FAtt 34 10 0 31 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei-Ye Zhao Yang Gao Steffen Eger AAML ELM 22 20 0 21 Mar 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan Maziar Sanjabi Lambert Mathias L Tan Shaoliang Nie Xiaochang Peng Xiang Ren Hamed Firooz 38 41 0 16 Dec 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 74 1,029 0 01 Nov 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 17 44 0 20 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen Yonatan Bisk Hal Daumé 41 16 0 14 Oct 2021
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic Zijun Wu Zi Xuan Zhang Atharva Naik Zhijian Mei Mauajama Firdaus Lili Mou LRM NAI 38 14 0 18 Sep 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension Naoya Inoue H. Trivedi Steven K. Sinha Niranjan Balasubramanian Kentaro Inui 58 14 0 14 Sep 2021
D-REX: Dialogue Relation Extraction with Explanations Alon Albalak Varun R. Embar Yi-Lin Tuan Lise Getoor W. Wang 59 9 0 10 Sep 2021
Diagnostics-Guided Explanation Generation Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein LRM FAtt 38 6 0 08 Sep 2021
Are Training Resources Insufficient? Predict First Then Explain! Myeongjun Jang Thomas Lukasiewicz LRM 21 7 0 29 Aug 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations Bodhisattwa Prasad Majumder Oana-Maria Camburu Thomas Lukasiewicz Julian McAuley 25 35 0 25 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning Swarnadeep Saha Prateek Yadav Mohit Bansal ReLM LRM 16 26 0 02 Jun 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks Maxime Kayser Oana-Maria Camburu Leonard Salewski Cornelius Emde Virginie Do Zeynep Akata Thomas Lukasiewicz VLM 26 100 0 08 May 2021
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards Marco Valentino Ian Pratt-Hartman André Freitas XAI LRM 21 12 0 05 May 2021
Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News Ashkan Kazemi Zehua Li Verónica Pérez-Rosas Rada Mihalcea 19 14 0 27 Apr 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey Yonatan Belinkov Marek Rei 27 45 0 16 Apr 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
SILT: Efficient transformer training for inter-lingual inference Javier Huertas-Tato Alejandro Martín David Camacho 19 11 0 17 Mar 2021
LIREx: Augmenting Language Inference with Relevant Explanation Xinyan Zhao V. Vydiswaran LRM 23 37 0 16 Dec 2020
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision Faeze Brahman Vered Shwartz Rachel Rudinger Yejin Choi LRM 15 42 0 14 Dec 2020
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Fei Wu Jiwei Li MILM XAI LRM FAtt 36 38 0 03 Dec 2020
Multi-document Summarization via Deep Learning Techniques: A Survey Congbo Ma W. Zhang Mingyu Guo Hu Wang Quan Z. Sheng 13 125 0 10 Nov 2020
Biased TextRank: Unsupervised Graph-Based Content Extraction Ashkan Kazemi Verónica Pérez-Rosas Rada Mihalcea 12 29 0 02 Nov 2020
A Survey on Explainability in Machine Reading Comprehension Mokanarangan Thayaparan Marco Valentino André Freitas FaML 12 50 0 01 Oct 2020
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 255 620 0 04 Dec 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,956 0 20 Apr 2018