Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets

24 March 2022

Papers citing "Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets"

50 / 59 papers shown

Title
Pushing the boundary on Natural Language Inference Pablo Miralles-González Javier Huertas-Tato Alejandro Martín David Camacho LRM 39 0 0 25 Apr 2025
FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Jabez Magomere Elena Kochkina Samuel Mensah Simerjot Kaur Charese Smiley 25 0 0 22 Apr 2025
CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models Runlong Zhou Yi Zhang RALM 53 0 0 02 Apr 2025
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks Jing Yang Max Glockner Anderson de Rezende Rocha Iryna Gurevych LRM 54 1 0 07 Feb 2025
Neuro-Symbolic AI in 2024: A Systematic Review Brandon C. Colelough William Regli NAI 60 9 0 09 Jan 2025
InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models H. Li Xiaogeng Liu SILM 37 4 0 30 Oct 2024
Relation-based Counterfactual Data Augmentation and Contrastive Learning for Robustifying Natural Language Inference Models H. Yang Sseung-won Hwang Jungmin So 25 0 0 28 Oct 2024
Task Calibration: Calibrating Large Language Models on Inference Tasks Yingjie Li Yun Luo Xiaotian Xie Yue Zhang LRM 16 0 0 24 Oct 2024
Eliciting Textual Descriptions from Representations of Continuous Prompts Dana Ramati Daniela Gottesman Mor Geva 27 0 0 15 Oct 2024
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization Shahed Masoudian Markus Frohmann Navid Rekabsaz Markus Schedl 15 0 0 29 Sep 2024
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding Ukyo Honda Tatsushi Oka Peinan Zhang Masato Mita 31 1 0 17 Jun 2024
ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions Sreyan Ghosh Utkarsh Tyagi Sonal Kumar C. K. Evuru S Ramaneswaran S. Sakshi Dinesh Manocha 31 5 0 06 Jun 2024
Are We Done with MMLU? Aryo Pradipta Gema Joshua Ong Jun Leang Giwon Hong Alessio Devoto Alberto Carlo Maria Mancino ... R. McHardy Joshua Harris Jean Kaddour Emile van Krieken Pasquale Minervini ELM 47 29 0 06 Jun 2024
CEval: A Benchmark for Evaluating Counterfactual Text Generation Van Bach Nguyen Jorg Schlotterer Christin Seifert 21 5 0 26 Apr 2024
On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization Lorenzo Jaime Yu Flores Arman Cohan HILM 38 2 0 09 Mar 2024
LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues Joe Stacey Jianpeng Cheng John Torr Tristan Guigue Joris Driesen Alexandru Coca Mark Gaynor Anders Johannsen 22 3 0 01 Mar 2024
Hierarchical Indexing for Retrieval-Augmented Opinion Summarization Tom Hosking Hao Tang Mirella Lapata 16 2 0 01 Mar 2024
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision Jinyan Su Peilin Yu Jieyu Zhang Stephen H. Bach 10 2 0 02 Feb 2024
Learning Shortcuts: On the Misleading Promise of NLU in Language Models Geetanjali Bihani Julia Taylor Rayz 25 3 0 17 Jan 2024
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models Xiaoyue Wang Xin Liu Lijie Wang Yaoxiang Wang Jinsong Su Hua Wu 13 1 0 01 Nov 2023
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation Xi Wang Hossein A. Rahmani Jiqun Liu Emine Yilmaz 14 12 0 25 Oct 2023
Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding Lorenzo Jaime Yu Flores Heyuan Huang Kejian Shi Sophie Chheang Arman Cohan MedIm 16 5 0 17 Oct 2023
Privacy in Large Language Models: Attacks, Defenses and Future Directions Haoran Li Yulin Chen Jinglong Luo Yan Kang Xiaojin Zhang Qi Hu Chunkit Chan Yangqiu Song PILM 38 39 0 16 Oct 2023
Stubborn Lexical Bias in Data and Models Sofia Serrano Jesse Dodge Noah A. Smith 19 2 0 03 Jun 2023
Alfred: A System for Prompted Weak Supervision Peilin Yu Stephen H. Bach 11 7 0 29 May 2023
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering Cunxiang Wang Hao Yu Yue Zhang 14 4 0 26 May 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 18 2 0 23 May 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization Ting Wu Rui Zheng Tao Gui Qi Zhang Xuanjing Huang 17 2 0 20 May 2023
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation Xuanli He Qiongkai Xu Jun Wang Benjamin I. P. Rubinstein Trevor Cohn AAML 16 18 0 19 May 2023
Explanation-based Finetuning Makes Models More Robust to Spurious Cues Josh Magnus Ludan Yixuan Meng Nguyen Tai Saurabh Shah Qing Lyu Marianna Apidianaki Chris Callison-Burch AAML LRM 13 16 0 08 May 2023
Natural Language Reasoning, A Survey Fei Yu Hongbo Zhang Prayag Tiwari Benyou Wang ReLM LRM 28 49 0 26 Mar 2023
Contrastive variational information bottleneck for aspect-based sentiment analysis Ming-Wei Chang Min Yang Qingshan Jiang Ruifeng Xu 11 4 0 06 Mar 2023
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases Yanchen Liu Jing Yang Yan Chen Jing Liu Huaqin Wu MoE 32 2 0 28 Feb 2023
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction? Jiashu Xu Mingyu Derek Ma Muhao Chen 20 16 0 21 Dec 2022
DISCO: Distilling Counterfactuals with Large Language Models Zeming Chen Qiyue Gao Antoine Bosselut Ashish Sabharwal Kyle Richardson 24 25 0 20 Dec 2022
Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models Jean-Thomas Baillargeon Luc Lamontagne 17 1 0 16 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
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization Bhargavi Paranjape Pradeep Dasigi Vivek Srikumar Luke Zettlemoyer Hannaneh Hajishirzi 15 7 0 02 Dec 2022
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning Jiaxin Wen Yeshuang Zhu Jinchao Zhang Jie Zhou Minlie Huang CML AAML 12 8 0 29 Nov 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference S. Rajaee Yadollah Yaghoobzadeh Mohammad Taher Pilehvar 23 5 0 07 Nov 2022
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference Mobashir Sadat Cornelia Caragea 11 2 0 05 Nov 2022
Does Self-Rationalization Improve Robustness to Spurious Correlations? Alexis Ross Matthew E. Peters Ana Marasović LRM 13 9 0 24 Oct 2022
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction Haoyu Wang Hongming Zhang Yuqian Deng J. Gardner Dan Roth Muhao Chen 17 19 0 10 Oct 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation Tanay Dixit Bhargavi Paranjape Hannaneh Hajishirzi Luke Zettlemoyer SyDa 130 23 0 10 Oct 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 19 81 0 25 Aug 2022
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition Linyi Yang Lifan Yuan Leyang Cui Wen Gao Yue Zhang 8 15 0 24 Aug 2022
BITE: Textual Backdoor Attacks with Iterative Trigger Injection Jun Yan Vansh Gupta Xiang Ren SILM 20 44 0 25 May 2022
Language Models in the Loop: Incorporating Prompting into Weak Supervision Ryan Smith Jason Alan Fries Braden Hancock Stephen H. Bach 35 52 0 04 May 2022
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters Tal Schuster Sihao Chen S. Buthpitiya Alex Fabrikant Donald Metzler 10 41 0 15 Apr 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation Alisa Liu Swabha Swayamdipta Noah A. Smith Yejin Choi 16 212 0 16 Jan 2022