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Teaching Machine Comprehension with Compositional Explanations

2 May 2020

Xiang Ren

Papers citing "Teaching Machine Comprehension with Compositional Explanations"

22 / 22 papers shown

Title
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE) Daniel Sonntag Michael Barz Thiago S. Gouvêa VLM 112 4 0 27 Jun 2024
A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation Li Yuan Yi Cai Haopeng Ren Jiexin Wang LRM 61 5 0 11 Mar 2024
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers Kangda Wei Sayan Ghosh Rakesh R Menon Shashank Srivastava 84 2 0 13 Nov 2023
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs H. Cui Sha Li Yu Zhang Qi Shi 119 1 0 01 Jun 2023
Large Language Model Instruction Following: A Survey of Progresses and Challenges Renze Lou Kai Zhang Wenpeng Yin ALM LRM 165 25 0 18 Mar 2023
"Why is this misleading?": Detecting News Headline Hallucinations with Explanations Jiaming Shen Jialu Liu Daniel Finnie N. Rahmati Michael Bendersky Marc Najork 55 19 0 12 Feb 2023
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 293 100 0 06 Oct 2022
An Interpretability Evaluation Benchmark for Pre-trained Language Models Ya-Ming Shen Lijie Wang Ying-Cong Chen Xinyan Xiao Jing Liu Hua Wu 79 4 0 28 Jul 2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP Lijie Wang Yaozong Shen Shu-ping Peng Shuai Zhang Xinyan Xiao Hao Liu Hongxuan Tang Ying-Cong Chen Hua Wu Haifeng Wang ELM 104 22 0 23 May 2022
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning Li Du Xiao Ding Kai Xiong Ting Liu Bing Qin CML 84 67 0 12 May 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation Ruixin Hong Hongming Zhang Xintong Yu Changshui Zhang ReLM LRM 95 33 0 05 May 2022
A survey on improving NLP models with human explanations Mareike Hartmann Daniel Sonntag LRM 103 22 0 19 Apr 2022
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations Rakesh R Menon Sayan Ghosh Shashank Srivastava LRM ELM 105 11 0 14 Apr 2022
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction Dong-Ho Lee Ravi Kiran Selvam Sheikh Muhammad Sarwar Bill Yuchen Lin Fred Morstatter Jay Pujara Elizabeth Boschee James Allan Xiang Ren 89 3 0 10 Sep 2021
On the Diversity and Limits of Human Explanations Chenhao Tan 97 33 0 22 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning Swarnadeep Saha Prateek Yadav Joey Tianyi Zhou ReLM LRM 96 26 0 02 Jun 2021
Explaining Answers with Entailment Trees Bhavana Dalvi Peter Alexander Jansen Oyvind Tafjord Zhengnan Xie Hannah Smith Leighanna Pipatanangkura Peter Clark ReLM FAtt LRM 321 186 0 17 Apr 2021
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning Swarnadeep Saha Prateek Yadav Lisa Bauer Joey Tianyi Zhou LRM 94 59 0 15 Apr 2021
Refining Language Models with Compositional Explanations Huihan Yao Ying Chen Qinyuan Ye Xisen Jin Xiang Ren 89 36 0 18 Mar 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe Ana Marasović XAI 104 146 0 24 Feb 2021
Teach me how to Label: Labeling Functions from Natural Language with Text-to-text Transformers Yannis Papanikolaou 32 0 0 18 Jan 2021
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering Harsh Jhamtani Peter Clark LRM 101 71 0 07 Oct 2020