WT5?! Training Text-to-Text Models to Explain their Predictions

30 April 2020

Sharan Narang

Papers citing "WT5?! Training Text-to-Text Models to Explain their Predictions"

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Title
Pushing the boundary on Natural Language Inference Pablo Miralles-González Javier Huertas-Tato Alejandro Martín David Camacho LRM 44 0 0 25 Apr 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong C. Yu X. Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 76 2 0 18 Feb 2025
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations Huaizhi Ge Yiming Li Qifan Wang Yongfeng Zhang Ruixiang Tang AAML SILM 81 0 0 19 Nov 2024
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
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
CAVE: Controllable Authorship Verification Explanations Sahana Ramnath Kartik Pandey Elizabeth Boschee Xiang Ren 61 1 0 24 Jun 2024
Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation Abhijnan Nath Shadi Manafi Avyakta Chelle Nikhil Krishnaswamy 38 1 0 04 Apr 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability Edmund Mills Shiye Su Stuart J. Russell Scott Emmons 48 7 0 20 Dec 2023
Explainable Depression Symptom Detection in Social Media Eliseo Bao Souto Anxo Perez Javier Parapar 27 5 0 20 Oct 2023
InfeRE: Step-by-Step Regex Generation via Chain of Inference Shuai Zhang Xiaodong Gu Yuting Chen Beijun Shen 18 5 0 08 Aug 2023
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
Passive learning of active causal strategies in agents and language models Andrew Kyle Lampinen Stephanie C. Y. Chan Ishita Dasgupta A. Nam Jane X. Wang 29 15 0 25 May 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations Jesus Solano Oana-Maria Camburu Pasquale Minervini 11 1 0 22 May 2023
MaNtLE: Model-agnostic Natural Language Explainer Rakesh R Menon Kerem Zaman Shashank Srivastava FAtt LRM 16 2 0 22 May 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
Explaining black box text modules in natural language with language models Chandan Singh Aliyah R. Hsu Richard Antonello Shailee Jain Alexander G. Huth Bin-Xia Yu Jianfeng Gao MILM 26 46 0 17 May 2023
Leveraging Large Language Models in Conversational Recommender Systems Luke Friedman Sameer Ahuja David Allen Zhenning Tan Hakim Sidahmed ... Ajay Patel Harsh Lara Brian Chu Zexiang Chen Manoj Kumar Tiwari 32 102 0 13 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
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits Ruibo Liu Chenyan Jia Ge Zhang Ziyu Zhuang Tony X. Liu Soroush Vosoughi 90 35 0 01 Jan 2023
Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments Zhivar Sourati Vishnu Priya Prasanna Venkatesh D. Deshpande Himanshu Rawlani Filip Ilievski Hông-Ân Sandlin Alain Mermoud AAML 31 20 0 12 Dec 2022
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5 Irina Bigoulaeva Rachneet Sachdeva Harish Tayyar Madabushi Aline Villavicencio Iryna Gurevych LRM 39 5 0 31 Oct 2022
Large Language Models Can Self-Improve Jiaxin Huang S. Gu Le Hou Yuexin Wu Xuezhi Wang Hongkun Yu Jiawei Han ReLM AI4MH LRM 18 561 0 20 Oct 2022
Explanations from Large Language Models Make Small Reasoners Better Shiyang Li Jianshu Chen Yelong Shen Zhiyu Zoey Chen Xinlu Zhang ... Jingu Qian Baolin Peng Yi Mao Wenhu Chen Xifeng Yan ReLM LRM 35 129 0 13 Oct 2022
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation Sebastian Hofstatter Jiecao Chen K. Raman Hamed Zamani RALM 45 77 0 28 Sep 2022
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering Pan Lu Swaroop Mishra Tony Xia Liang Qiu Kai-Wei Chang Song-Chun Zhu Oyvind Tafjord Peter Clark A. Kalyan ELM ReLM LRM 211 1,105 0 20 Sep 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
Negative Human Rights as a Basis for Long-term AI Safety and Regulation Ondrej Bajgar Jan Horenovsky FaML 17 9 0 31 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
Rationale-Augmented Ensembles in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Denny Zhou ReLM LRM 35 124 0 02 Jul 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations Jaehun Jung Lianhui Qin Sean Welleck Faeze Brahman Chandra Bhagavatula Ronan Le Bras Yejin Choi ReLM LRM 223 190 0 24 May 2022
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization Shruti Palaskar Akshita Bhagia Yonatan Bisk Florian Metze A. Black Ana Marasović 18 4 0 24 May 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 16 40 0 25 Apr 2022
Can language models learn from explanations in context? Andrew Kyle Lampinen Ishita Dasgupta Stephanie C. Y. Chan Kory Matthewson Michael Henry Tessler Antonia Creswell James L. McClelland Jane X. Wang Felix Hill LRM ReLM 41 283 0 05 Apr 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
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks Fawaz Sammani Tanmoy Mukherjee Nikos Deligiannis MILM ELM LRM 16 67 0 09 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
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
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
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic Zijun Wu Zi Xuan Zhang Atharva Naik Zhijian Mei Mauajama Firdaus Lili Mou LRM NAI 36 14 0 18 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 23 35 0 25 Jun 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks Bhargavi Paranjape Julian Michael Marjan Ghazvininejad Luke Zettlemoyer Hannaneh Hajishirzi ReLM LRM 20 66 0 12 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 23 100 0 08 May 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
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision Faeze Brahman Vered Shwartz Rachel Rudinger Yejin Choi LRM 6 42 0 14 Dec 2020
BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig Ali Madani L. Varshney Caiming Xiong R. Socher Nazneen Rajani 17 288 0 26 Jun 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
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017