How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks

14 August 2018

Papers citing "How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks"

28 / 28 papers shown

Title
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals Yanai Elazar Bhargavi Paranjape Hao Peng Sarah Wiegreffe Khyathi Raghavi Vivek Srikumar Sameer Singh Noah A. Smith AAML OOD 21 0 0 16 Nov 2023
Analyzing Multiple-Choice Reading and Listening Comprehension Tests Vatsal Raina Adian Liusie Mark J. F. Gales ELM 33 2 0 03 Jul 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 20 2 0 23 May 2023
What's the Meaning of Superhuman Performance in Today's NLU? Simone Tedeschi Johan Bos T. Declerck Jan Hajic Daniel Hershcovich ... Simon Krek Steven Schockaert Rico Sennrich Ekaterina Shutova Roberto Navigli ELM LM&MA VLM ReLM LRM 24 26 0 15 May 2023
SkillQG: Learning to Generate Question for Reading Comprehension Assessment Xiaoqiang Wang Bang Liu Siliang Tang Lingfei Wu 21 3 0 08 May 2023
Evaluation for Change Rishi Bommasani ELM 21 0 0 20 Dec 2022
Feature-Level Debiased Natural Language Understanding Yougang Lyu Piji Li Yechang Yang Maarten de Rijke Pengjie Ren Yukun Zhao Dawei Yin Z. Ren 23 10 0 11 Dec 2022
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective Linyi Yang Shuibai Zhang Libo Qin Yafu Li Yidong Wang Hanmeng Liu Jindong Wang Xingxu Xie Yue Zhang ELM 22 79 0 15 Nov 2022
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation Abhilasha Ravichander Matt Gardner Ana Marasović 25 33 0 01 Nov 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 21 116 0 20 Oct 2022
MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data Yilun Zhao Yunxiang Li Chenying Li Rui Zhang AIMat 21 97 0 03 Jun 2022
What Makes Reading Comprehension Questions Difficult? Saku Sugawara Nikita Nangia Alex Warstadt Sam Bowman ELM RALM 12 13 0 12 Mar 2022
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking Ronen Tamari Kyle Richardson Aviad Sar-Shalom Noam Kahlon Nelson F. Liu Reut Tsarfaty Dafna Shahaf 28 5 0 30 Nov 2021
Text-based NP Enrichment Yanai Elazar Victoria Basmov Yoav Goldberg Reut Tsarfaty 52 15 0 24 Sep 2021
ParaShoot: A Hebrew Question Answering Dataset Omri Keren Omer Levy 29 17 0 23 Sep 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning Prasetya Ajie Utama N. Moosavi Victor Sanh Iryna Gurevych AAML 56 35 0 09 Sep 2021
MuSiQue: Multihop Questions via Single-hop Question Composition H. Trivedi Niranjan Balasubramanian Tushar Khot Ashish Sabharwal LRM 6 222 0 02 Aug 2021
Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval Akari Asai Eunsol Choi RALM 37 51 0 22 Oct 2020
Counterfactual Variable Control for Robust and Interpretable Question Answering S. Yu Yulei Niu Shuohang Wang Jing Jiang Qianru Sun AAML OOD 34 9 0 12 Oct 2020
To Test Machine Comprehension, Start by Defining Comprehension Jesse Dunietz Greg Burnham Akash Bharadwaj Owen Rambow Jennifer Chu-Carroll D. Ferrucci FaML 52 64 0 04 May 2020
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations Mostafa Abdou Vinit Ravishankar Maria Barrett Yonatan Belinkov Desmond Elliott Anders Søgaard ReLM LRM 52 34 0 04 May 2020
DQI: Measuring Data Quality in NLP Swaroop Mishra Anjana Arunkumar Bhavdeep Singh Sachdeva Chris Bryan Chitta Baral 19 30 0 02 May 2020
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data Wenhu Chen Hanwen Zha Zhiyu Zoey Chen Wenhan Xiong Hong Wang W. Wang 11 288 0 15 Apr 2020
Translation Artifacts in Cross-lingual Transfer Learning Mikel Artetxe Gorka Labaka Eneko Agirre 6 114 0 09 Apr 2020
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik Eduard H. Hovy Zachary Chase Lipton CML 9 558 0 26 Sep 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush 19 94 0 09 Jul 2019
Inferring Which Medical Treatments Work from Reports of Clinical Trials Eric P. Lehman Jay DeYoung Regina Barzilay Byron C. Wallace 18 114 0 02 Apr 2019
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 187 576 0 02 May 2018