Nithum Thain

According to our database1, Nithum Thain authored at least 31 papers between 2007 and 2024.

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Bibliography

2024
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics.
CoRR, 2024

ConstitutionalExperts: Training a Mixture of Principle-based Prompts.
CoRR, 2024

2023
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals.
CoRR, 2023

Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning.
CoRR, 2023

JUAGE at SemEval-2023 Task 10: Parameter Efficient Classification.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Towards Agile Text Classifiers for Everyone.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Plex: Towards Reliability using Pretrained Large Model Extensions.
CoRR, 2022

2021
Measuring Recommender System Effects with Simulated Users.
CoRR, 2021

Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems.
Proceedings of the WSDM '21, 2021

Can We Improve Model Robustness through Secondary Attribute Counterfactuals?
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Six Attributes of Unhealthy Conversation.
CoRR, 2020

Classifying Constructive Comments.
CoRR, 2020

Fairness without Demographics through Adversarially Reweighted Learning.
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?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Six Attributes of Unhealthy Conversations.
Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020

2019
Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems.
CoRR, 2019

Debiasing Embeddings for Reduced Gender Bias in Text Classification.
CoRR, 2019

Limitations of Pinned AUC for Measuring Unintended Bias.
CoRR, 2019

Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions.
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.
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.
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.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

Conversations Gone Awry: Detecting Early Signs of Conversational Failure.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Ex Machina: Personal Attacks Seen at Scale.
Proceedings of the 26th International Conference on World Wide Web, 2017

2014
To Save Or Not To Save: The Fisher Game.
Proceedings of the Web and Internet Economics - 10th International Conference, 2014

2012
On the Implications of Lookahead Search in Game Playing
CoRR, 2012

A Theoretical Examination of Practical Game Playing: Lookahead Search.
Proceedings of the Algorithmic Game Theory - 5th International Symposium, 2012

2009
Computational Aspects of Multimarket Price Wars.
Proceedings of the Internet and Network Economics, 5th International Workshop, 2009

2007
Pick's Theorem via Minkowski's Theorem.
Am. Math. Mon., 2007


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