Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

4 February 2019

Papers citing "Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference"

50 / 329 papers shown

Title
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark Saurabh Kulshreshtha Olga Kovaleva Namrata Shivagunde Anna Rumshisky ELM LRM 32 4 0 20 May 2022
Assessing the Limits of the Distributional Hypothesis in Semantic Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences Mark Anderson Jose Camacho-Collados 35 0 0 16 May 2022
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization Prasetya Ajie Utama Joshua Bambrick N. Moosavi Iryna Gurevych HILM 16 42 0 12 May 2022
Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence Myeongjun Jang Frank Mtumbuka Thomas Lukasiewicz 36 9 0 08 May 2022
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning Oscar Sainz Itziar Gonzalez-Dios Oier López de Lacalle Bonan Min Eneko Agirre 31 49 0 03 May 2022
Logically Consistent Adversarial Attacks for Soft Theorem Provers Alexander Gaskell Yishu Miao Lucia Specia Francesca Toni AAML 18 7 0 29 Apr 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 22 20 0 28 Apr 2022
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation Vivian Lai Samuel Carton Rajat Bhatnagar Vera Liao Yunfeng Zhang Chenhao Tan 29 130 0 25 Apr 2022
CILDA: Contrastive Data Augmentation using Intermediate Layer Knowledge Distillation Md. Akmal Haidar Mehdi Rezagholizadeh Abbas Ghaddar Khalil Bibi Philippe Langlais Pascal Poupart CLL 33 6 0 15 Apr 2022
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters Tal Schuster Sihao Chen S. Buthpitiya Alex Fabrikant Donald Metzler 26 41 0 15 Apr 2022
Fast Few-shot Debugging for NLU Test Suites Christopher Malon Kai Li E. Kruus 30 4 0 13 Apr 2022
Distributionally Robust Models with Parametric Likelihood Ratios Paul Michel Tatsunori Hashimoto Graham Neubig OOD 30 15 0 13 Apr 2022
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language Jacob Eisenstein CML 35 25 0 09 Apr 2022
VALUE: Understanding Dialect Disparity in NLU Caleb Ziems Jiaao Chen Camille Harris J. Anderson Diyi Yang ELM 47 42 0 06 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 49 318 0 06 Apr 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets Yuxiang Wu Matt Gardner Pontus Stenetorp Pradeep Dasigi 37 67 0 24 Mar 2022
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments Antonis Maronikolakis Axel Wisiorek Leah Nann Haris Jabbar Sahana Udupa Hinrich Schütze 24 24 0 22 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 30 20 0 21 Mar 2022
Entailment Relation Aware Paraphrase Generation Abhilasha Sancheti Balaji Vasan Srinivasan Rachel Rudinger 41 4 0 20 Mar 2022
Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models Aaron Mueller Robert Frank Tal Linzen Luheng Wang Sebastian Schuster AIMat 19 33 0 17 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness Tejas Gokhale Swaroop Mishra Man Luo Bhavdeep Singh Sachdeva Chitta Baral 52 29 0 15 Mar 2022
iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models Jun Yuan Jesse Vig Nazneen Rajani 22 13 0 08 Mar 2022
Adaptor: Objective-Centric Adaptation Framework for Language Models Michal vStefánik Vít Novotný Nikola Groverová Petr Sojka 35 10 0 08 Mar 2022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings Neeraj Varshney Swaroop Mishra Chitta Baral 27 55 0 01 Mar 2022
Reward Modeling for Mitigating Toxicity in Transformer-based Language Models Farshid Faal K. Schmitt Jia Yuan Yu 13 24 0 19 Feb 2022
Do Transformers know symbolic rules, and would we know if they did? Tommi Gröndahl Yu-Wen Guo Nirmal Asokan 30 0 0 19 Feb 2022
Saving Dense Retriever from Shortcut Dependency in Conversational Search Sungdong Kim Gangwoo Kim 25 26 0 15 Feb 2022
Impact of Pretraining Term Frequencies on Few-Shot Reasoning Yasaman Razeghi Robert L Logan IV Matt Gardner Sameer Singh ReLM LRM 32 150 0 15 Feb 2022
On the Origins of the Block Structure Phenomenon in Neural Network Representations Thao Nguyen M. Raghu Simon Kornblith 25 14 0 15 Feb 2022
POTATO: exPlainable infOrmation exTrAcTion framewOrk Adam Kovacs Kinga Gémes Eszter Iklódi Gábor Recski 38 4 0 31 Jan 2022
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey Prajjwal Bhargava Vincent Ng ReLM LRM 47 62 0 28 Jan 2022
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model Shaden Smith M. Patwary Brandon Norick P. LeGresley Samyam Rajbhandari ... M. Shoeybi Yuxiong He Michael Houston Saurabh Tiwary Bryan Catanzaro MoE 90 732 0 28 Jan 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 36 15 0 27 Jan 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation Alisa Liu Swabha Swayamdipta Noah A. Smith Yejin Choi 82 212 0 16 Jan 2022
Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation Zoey Liu Emily Tucker Prudhommeaux 43 4 0 05 Jan 2022
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants Max Bartolo Tristan Thrush Sebastian Riedel Pontus Stenetorp Robin Jia Douwe Kiela 24 33 0 16 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Kaustubh D. Dhole Varun Gangal Sebastian Gehrmann Aadesh Gupta Zhenhao Li ... Tianbao Xie Usama Yaseen Michael A. Yee Jing Zhang Yue Zhang 174 86 0 06 Dec 2021
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding Deze Wang Zhouyang Jia Shanshan Li Yue Yu Yun Xiong Wei Dong Xiangke Liao 38 80 0 04 Dec 2021
Improving mathematical questioning in teacher training Debajyoti Datta Maria Phillips J. Bywater Jennifer L. Chiu G. Watson Laura E. Barnes Donald E. Brown 27 0 0 02 Dec 2021
Understanding Out-of-distribution: A Perspective of Data Dynamics Dyah Adila Dongyeop Kang 38 12 0 29 Nov 2021
Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair Jason Phang Angelica Chen William Huang Samuel R. Bowman AAML 28 13 0 16 Nov 2021
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation David Alfonso-Hermelo Ahmad Rashid Abbas Ghaddar Huawei Noah’s Mehdi Rezagholizadeh 37 2 0 09 Nov 2021
Introspective Distillation for Robust Question Answering Yulei Niu Hanwang Zhang 27 59 0 01 Nov 2021
IndoNLI: A Natural Language Inference Dataset for Indonesian Rahmad Mahendra Alham Fikri Aji Samuel Louvan Fahrurrozi Rahman Clara Vania 26 29 0 27 Oct 2021
Robust Contrastive Learning Using Negative Samples with Diminished Semantics Songwei Ge Shlok Kumar Mishra Haohan Wang Chun-Liang Li David Jacobs SSL 24 71 0 27 Oct 2021
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models Tianlu Wang Rohit Sridhar Diyi Yang Xuezhi Wang AAML 120 72 0 14 Oct 2021
Retrieval-guided Counterfactual Generation for QA Bhargavi Paranjape Matthew Lamm Ian Tenney 33 31 0 14 Oct 2021
Can Explanations Be Useful for Calibrating Black Box Models? Xi Ye Greg Durrett FAtt 24 25 0 14 Oct 2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates Xiaochuang Han Yulia Tsvetkov TDI 31 30 0 07 Oct 2021