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On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations



Yang Trista Cao , Yada Pruksachatkun , Kai-Wei Chang , Rahul Gupta , Varun Kumar , Jwala Dhamala , Aram Galstyan

* ACL 2022 

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Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal



Umang Gupta , Jwala Dhamala , Varun Kumar , Apurv Verma , Yada Pruksachatkun , Satyapriya Krishna , Rahul Gupta , Kai-Wei Chang , Greg Ver Steeg , Aram Galstyan

* To appear in the Findings of ACL 2022 

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Industry Scale Semi-Supervised Learning for Natural Language Understanding



Luoxin Chen , Francisco Garcia , Varun Kumar , He Xie , Jianhua Lu

* NAACL 2021 Industry track 

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ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification



Manoj Kumar , Varun Kumar , Hadrien Glaude , Cyprien delichy , Aman Alok , Rahul Gupta

* Accepted at IEEE Spoken Language Technology Workshop 2021 

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BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation



Jwala Dhamala , Tony Sun , Varun Kumar , Satyapriya Krishna , Yada Pruksachatkun , Kai-Wei Chang , Rahul Gupta


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Data Augmentation using Pre-trained Transformer Models



Varun Kumar , Ashutosh Choudhary , Eunah Cho

* 7 pages 

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Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity



Eunah Cho , He Xie , John P. Lalor , Varun Kumar , William M. Campbell

* IEEE Copyright. To appear at ASRU 2019 

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A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification



Varun Kumar , Hadrien Glaude , Cyprien de Lichy , William Campbell

* Accepted at Deep Learning for low-resource NLP workshop @ EMNLP 2019 

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Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models



Varun Kumar , Alison Smith-Renner , Leah Findlater , Kevin Seppi , Jordan Boyd-Graber

* In proceedings of ACL 2019 

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