Nithum Thain

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 35

Top Topics

Online Collaborative

Labeled Documents

Text Classification

Top Venues

WWW (Companion Volume)

EMNLP (Findings)

Publications

Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin MacMurray van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. LREC/COLING (2024)
Savvas Petridis, Ben Wedin, Ann Yuan, James Wexler, Nithum Thain
ConstitutionalExperts: Training a Mixture of Principle-based Prompts. CoRR (2024)
Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin Van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. CoRR (2024)
Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon
Towards Agile Text Classifiers for Everyone. EMNLP (Findings) (2023)
Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon
Towards Agile Text Classifiers for Everyone. CoRR (2023)
Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada
Classifying constructive comments. First Monday 28 (4) (2023)
Jeffrey Sorensen, Katerina Korre, John Pavlopoulos, Katrin Tomanek, Nithum Thain, Lucas Dixon, Leo Laugier
JUAGE at SemEval-2023 Task 10: Parameter Efficient Classification. SemEval@ACL (2023)
Maximilian Mozes, Tolga Bolukbasi, Ann Yuan, Frederick Liu, Nithum Thain, Lucas Dixon
Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning. CoRR (2023)
Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Jilin Chen, Ed H. Chi, Alex Beutel
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals. CoRR (2023)
Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. EMNLP (Findings) (2023)
Dustin Tran, Jeremiah 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
Plex: Towards Reliability using Pretrained Large Model Extensions. CoRR (2022)
Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel
Measuring Recommender System Effects with Simulated Users. CoRR (2021)
Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems. WSDM (2021)
Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel
Can We Improve Model Robustness through Secondary Attribute Counterfactuals? EMNLP (1) (2021)
Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed Chi
Fairness without Demographics through Adversarially Reweighted Learning. NeurIPS (2020)
John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos
Toxicity Detection: Does Context Really Matter? CoRR (2020)
Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen
Six Attributes of Unhealthy Conversations. WOAH (2020)
Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada
Classifying Constructive Comments. CoRR (2020)
Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen
Six Attributes of Unhealthy Conversation. CoRR (2020)
Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi
Fairness without Demographics through Adversarially Reweighted Learning. CoRR (2020)
John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos
Toxicity Detection: Does Context Really Matter? ACL (2020)
Lora Aroyo, Lucas Dixon, Nithum Thain, Olivia Redfield, Rachel Rosen
Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions. WWW (Companion Volume) (2019)
Daniel Borkan, Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
Limitations of Pinned AUC for Measuring Unintended Bias. CoRR (2019)
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification. WWW (Companion Volume) (2019)
Flavien Prost, Nithum Thain, Tolga Bolukbasi
Debiasing Embeddings for Reduced Gender Bias in Text Classification. CoRR (2019)
Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel
Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems. CoRR (2019)
John Pavlopoulos, Nithum Thain, Lucas Dixon, Ion Androutsopoulos
ConvAI at SemEval-2019 Task 6: Offensive Language Identification and Categorization with Perspective and BERT. SemEval@NAACL-HLT (2019)
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification. CoRR (2019)
Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli, Nithum Thain, Jeffery Sorensen, Lucas Dixon
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community. EMNLP (2018)
Justine Zhang, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil, Lucas Dixon, Yiqing Hua, Dario Taraborelli, Nithum Thain
Conversations Gone Awry: Detecting Early Signs of Conversational Failure. ACL (1) (2018)
Justine Zhang, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil, Lucas Dixon, Yiqing Hua, Nithum Thain, Dario Taraborelli
Conversations Gone Awry: Detecting Early Signs of Conversational Failure. CoRR (2018)
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
Measuring and Mitigating Unintended Bias in Text Classification. AIES (2018)
Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli, Nithum Thain, Jeffery Sorensen, Lucas Dixon
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community. CoRR (2018)
Ellery Wulczyn, Nithum Thain, Lucas Dixon
Ex Machina: Personal Attacks Seen at Scale. WWW (2017)
Ellery Wulczyn, Nithum Thain, Lucas Dixon
Ex Machina: Personal Attacks Seen at Scale. CoRR (2016)
Ruta Mehta, Nithum Thain, László A. Végh, Adrian Vetta
To Save Or Not To Save: The Fisher Game. WINE (2014)
Vahab S. Mirrokni, Nithum Thain, Adrian Vetta
On the Implications of Lookahead Search in Game Playing CoRR (2012)
Vahab S. Mirrokni, Nithum Thain, Adrian Vetta
A Theoretical Examination of Practical Game Playing: Lookahead Search. SAGT (2012)
Nithum Thain, Adrian Vetta
Computational Aspects of Multimarket Price Wars. WINE (2009)
M. Ram Murty, Nithum Thain
Pick's Theorem via Minkowski's Theorem. Am. Math. Mon. 114 (8) (2007)