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ORCIDNithum Thain
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2020 – today
- 2024
[c20]Savvas Petridis, Ben Wedin, Ann Yuan, James Wexler, Nithum Thain:
ConstitutionalExperts: Training a Mixture of Principle-based Prompts. ACL (Short Papers) 2024: 574-582- [c19]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: 4729-4743 - [i19]Savvas Petridis, Ben Wedin, Ann Yuan, James Wexler, Nithum Thain:
ConstitutionalExperts: Training a Mixture of Principle-based Prompts. CoRR abs/2403.04894 (2024) - [i18]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 abs/2403.08904 (2024) - 2023
- [j2]Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada:
Classifying constructive comments. First Monday 28(4) (2023) - [c18]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: 127-139 - [c17]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: 400-414 - [c16]Jeffrey Sorensen, Katerina Korre, John Pavlopoulos, Katrin Tomanek, Nithum Thain, Lucas Dixon, Léo Laugier
:
JUAGE at SemEval-2023 Task 10: Parameter Efficient Classification. SemEval@ACL 2023: 1195-1203 - [i17]Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon:
Towards Agile Text Classifiers for Everyone. CoRR abs/2302.06541 (2023) - [i16]Maximilian Mozes, Tolga Bolukbasi, Ann Yuan, Frederick Liu, Nithum Thain, Lucas Dixon:
Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning. CoRR abs/2302.06598 (2023) - [i15]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 abs/2305.13535 (2023) - 2022
- [i14]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:
Plex: Towards Reliability using Pretrained Large Model Extensions. CoRR abs/2207.07411 (2022) - 2021
- [c15]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: 4701-4712 - [c14]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: 436-444 - [i13]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 abs/2101.04526 (2021) - 2020
- [c13]John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos:
Toxicity Detection: Does Context Really Matter? ACL 2020: 4296-4305 - [c12]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: 114-124 - [c11]Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi:
Fairness without Demographics through Adversarially Reweighted Learning. NeurIPS 2020 - [i12]Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada:
Classifying Constructive Comments. CoRR abs/2004.05476 (2020) - [i11]John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos:
Toxicity Detection: Does Context Really Matter? CoRR abs/2006.00998 (2020) - [i10]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 abs/2006.13114 (2020) - [i9]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 abs/2010.07410 (2020)
2010 – 2019
- 2019
- [c10]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: 571-576 - [c9]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: 491-500 - [c8]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: 1100-1105 - [i8]Daniel Borkan, Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman:
Limitations of Pinned AUC for Measuring Unintended Bias. CoRR abs/1903.02088 (2019) - [i7]Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman:
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification. CoRR abs/1903.04561 (2019) - [i6]Flavien Prost, Nithum Thain, Tolga Bolukbasi:
Debiasing Embeddings for Reduced Gender Bias in Text Classification. CoRR abs/1908.02810 (2019) - [i5]Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel:
Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems. CoRR abs/1911.01916 (2019) - 2018
- [c7]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: 1350-1361 - [c6]Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman:
Measuring and Mitigating Unintended Bias in Text Classification. AIES 2018: 67-73 - [c5]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: 2818-2823 - [i4]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 abs/1805.05345 (2018) - [i3]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 abs/1810.13181 (2018) - 2017
- [c4]Ellery Wulczyn, Nithum Thain, Lucas Dixon:
Ex Machina: Personal Attacks Seen at Scale. WWW 2017: 1391-1399 - 2016
- [i2]Ellery Wulczyn, Nithum Thain, Lucas Dixon:
Ex Machina: Personal Attacks Seen at Scale. CoRR abs/1610.08914 (2016) - 2014
- [c3]Ruta Mehta, Nithum Thain, László A. Végh, Adrian Vetta:
To Save Or Not To Save: The Fisher Game. WINE 2014: 294-307 - 2012
- [c2]Vahab S. Mirrokni, Nithum Thain, Adrian Vetta:
A Theoretical Examination of Practical Game Playing: Lookahead Search. SAGT 2012: 251-262 - [i1]Vahab S. Mirrokni, Nithum Thain, Adrian Vetta:
On the Implications of Lookahead Search in Game Playing. CoRR abs/1202.4134 (2012)
2000 – 2009
- 2009
- [c1]Nithum Thain, Adrian Vetta:
Computational Aspects of Multimarket Price Wars. WINE 2009: 304-315 - 2007
- [j1]M. Ram Murty, Nithum Thain:
Pick's Theorem via Minkowski's Theorem. Am. Math. Mon. 114(8): 732-736 (2007)
Coauthor Index
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