Nithum Thain

According to our database, Nithum Thain authored at least 31 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics.

Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin MacMurray van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

ConstitutionalExperts: Training a Mixture of Principle-based Prompts.

Savvas Petridis, Ben Wedin, Ann Yuan, James Wexler, Nithum Thain

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Classifying constructive comments.

Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada

First Monday, 2023

Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals.

Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Jilin Chen, Ed H. Chi, Alex Beutel

CoRR, 2023

Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning.

Maximilian Mozes, Tolga Bolukbasi, Ann Yuan, Frederick Liu, Nithum Thain, Lucas Dixon

CoRR, 2023

JUAGE at SemEval-2023 Task 10: Parameter Efficient Classification.

Jeffrey Sorensen, Katerina Korre, John Pavlopoulos, Katrin Tomanek, Nithum Thain, Lucas Dixon, Léo Laugier

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Towards Agile Text Classifiers for Everyone.

Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation.

Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Plex: Towards Reliability using Pretrained Large Model Extensions.

Dustin Tran, Jeremiah Z. Liu, Michael W. Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, Kelly Buchanan, Kevin Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan

CoRR, 2022

2021

Measuring Recommender System Effects with Simulated Users.

Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel

CoRR, 2021

Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems.

Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel

Proceedings of the WSDM '21, 2021

Can We Improve Model Robustness through Secondary Attribute Counterfactuals?

Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Six Attributes of Unhealthy Conversation.

Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen

CoRR, 2020

Fairness without Demographics through Adversarially Reweighted Learning.

Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Toxicity Detection: Does Context Really Matter?

John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Six Attributes of Unhealthy Conversations.

Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen

Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020

2019

Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems.

Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel

CoRR, 2019

Debiasing Embeddings for Reduced Gender Bias in Text Classification.

Flavien Prost, Nithum Thain, Tolga Bolukbasi

CoRR, 2019

Limitations of Pinned AUC for Measuring Unintended Bias.

Daniel Borkan, Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman

CoRR, 2019

Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification.

Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions.

Lora Aroyo, Lucas Dixon, Nithum Thain, Olivia Redfield, Rachel Rosen

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

ConvAI at SemEval-2019 Task 6: Offensive Language Identification and Categorization with Perspective and BERT.

John Pavlopoulos, Nithum Thain, Lucas Dixon, Ion Androutsopoulos

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

2018

WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community.

Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli, Nithum Thain, Jeffery Sorensen, Lucas Dixon

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Measuring and Mitigating Unintended Bias in Text Classification.

Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

Conversations Gone Awry: Detecting Early Signs of Conversational Failure.

Justine Zhang, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil, Lucas Dixon, Yiqing Hua, Dario Taraborelli, Nithum Thain

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Ex Machina: Personal Attacks Seen at Scale.

Ellery Wulczyn, Nithum Thain, Lucas Dixon

Proceedings of the 26th International Conference on World Wide Web, 2017

2014

To Save Or Not To Save: The Fisher Game.

Ruta Mehta, Nithum Thain, László A. Végh, Adrian Vetta

Proceedings of the Web and Internet Economics - 10th International Conference, 2014

2012

On the Implications of Lookahead Search in Game Playing

Vahab S. Mirrokni, Nithum Thain, Adrian Vetta

CoRR, 2012

A Theoretical Examination of Practical Game Playing: Lookahead Search.

Vahab S. Mirrokni, Nithum Thain, Adrian Vetta

Proceedings of the Algorithmic Game Theory - 5th International Symposium, 2012

2009

Computational Aspects of Multimarket Price Wars.

Nithum Thain, Adrian Vetta

Proceedings of the Internet and Network Economics, 5th International Workshop, 2009

2007

Pick's Theorem via Minkowski's Theorem.

M. Ram Murty, Nithum Thain

Am. Math. Mon., 2007