Nithum Thain

49 papers A* 5A 2B 1C 1Journal 26Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation.
CoRR
Kehang Zhu, Nithum Thain, Vivian Tsai, James Wexler, Crystal Qian
2026 A conf
Strategic Tradeoffs Between Humans and AI in Multi-Agent Bargaining.
IUI
Crystal Qian, Kehang Zhu, John Joseph Horton, Benjamin S. Manning, Vivian Tsai, James Wexler, Nithum Thain
2025 J jnl
Deliberate Lab: A Platform for Real-Time Human-AI Social Experiments.
CoRR
Crystal Qian, Vivian Tsai, Michael Behr, Nada Hussein, Léo Laugier, Nithum Thain, Lucas Dixon
2025 J jnl
Improving Neutral Point of View Text Generation through Parameter-Efficient Reinforcement Learning and a Small-Scale High-Quality Dataset.
CoRR
Jessica Hoffmann, Christiane Ahlheim, Zac Yu, Aria Walfrand, Jarvis Jin, Marie Tano, Ahmad Beirami, Erin van Liemt, Nithum Thain, Hakim Sidahmed, Lucas Dixon
2025 A* conf
Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL.
EMNLP
Jessica Hoffmann, Christiane Ahlheim, Zac Yu, Aria Walfrand, Jarvis Jin, Marie Tano, Ahmad Beirami, Erin MacMurray van Liemt, Nithum Thain, Hakim Sidahmed, Lucas Dixon
2025 J jnl
Strategic Tradeoffs Between Humans and AI in Multi-Agent Bargaining.
CoRR
Crystal Qian, Kehang Zhu, John J. Horton, Benjamin S. Manning, Vivian Tsai, James Wexler, Nithum Thain
2025 — conf
Thinking Like a Scientist: Can Interactive Simulations Foster Critical AI Literacy?
AIED (2)
Yiling Zhao, Audrey L. Michal, Nithum Thain, Hari Subramonyam
2025 J jnl
Thinking Like a Scientist: Can Interactive Simulations Foster Critical AI Literacy?
CoRR
Yiling Zhao, Audrey L. Michal, Nithum Thain, Hari Subramonyam
2024 — conf
ConstitutionalExperts: Training a Mixture of Principle-based Prompts.
ACL (Short Papers)
Savvas Petridis, Ben Wedin, Ann Yuan, James Wexler, Nithum Thain
2024 J jnl
ConstitutionalExperts: Training a Mixture of Principle-based Prompts.
CoRR
Savvas Petridis, Ben Wedin, Ann Yuan, James Wexler, Nithum Thain
2024 — conf
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics.
LREC/COLING
Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin MacMurray van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon
2024 J jnl
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics.
CoRR
Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon
2023 J jnl
Classifying constructive comments.
First Monday
Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada
2023 J jnl
Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning.
CoRR
Maximilian Mozes, Tolga Bolukbasi, Ann Yuan, Frederick Liu, Nithum Thain, Lucas Dixon
2023 J jnl
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals.
CoRR
Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Jilin Chen, Ed H. Chi, Alex Beutel
2023 — conf
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation.
EMNLP (Findings)
Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel
2023 — conf
JUAGE at SemEval-2023 Task 10: Parameter Efficient Classification.
SemEval@ACL
Jeffrey Sorensen, Katerina Korre, John Pavlopoulos, Katrin Tomanek, Nithum Thain, Lucas Dixon, Léo Laugier
2023 — conf
Towards Agile Text Classifiers for Everyone.
EMNLP (Findings)
Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon
2023 J jnl
Towards Agile Text Classifiers for Everyone.
CoRR
Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon
2022 J jnl
Plex: Towards Reliability using Pretrained Large Model Extensions.
CoRR
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
2021 — conf
Can We Improve Model Robustness through Secondary Attribute Counterfactuals?
EMNLP (1)
Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel
2021 J jnl
Measuring Recommender System Effects with Simulated Users.
CoRR
Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel
2021 A conf
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems.
WSDM
Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel
2020 J jnl
Classifying Constructive Comments.
CoRR
Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada
2020 A* conf
Fairness without Demographics through Adversarially Reweighted Learning.
NeurIPS
Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi
2020 J jnl
Fairness without Demographics through Adversarially Reweighted Learning.
CoRR
Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi
2020 J jnl
Six Attributes of Unhealthy Conversation.
CoRR
Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen
2020 — conf
Six Attributes of Unhealthy Conversations.
WOAH
Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen
2020 A* conf
Toxicity Detection: Does Context Really Matter?
ACL
John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos
2020 J jnl
Toxicity Detection: Does Context Really Matter?
CoRR
John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos
2019 — conf
ConvAI at SemEval-2019 Task 6: Offensive Language Identification and Categorization with Perspective and BERT.
SemEval@NAACL-HLT
John Pavlopoulos, Nithum Thain, Lucas Dixon, Ion Androutsopoulos
2019 — conf
Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions.
WWW (Companion Volume)
Lora Aroyo, Lucas Dixon, Nithum Thain, Olivia Redfield, Rachel Rosen
2019 J jnl
Debiasing Embeddings for Reduced Gender Bias in Text Classification.
CoRR
Flavien Prost, Nithum Thain, Tolga Bolukbasi
2019 J jnl
Limitations of Pinned AUC for Measuring Unintended Bias.
CoRR
Daniel Borkan, Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
2019 — conf
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification.
WWW (Companion Volume)
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
2019 J jnl
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification.
CoRR
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
2019 J jnl
Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems.
CoRR
Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel
2018 — conf
Conversations Gone Awry: Detecting Early Signs of Conversational Failure.
ACL (1)
Justine Zhang, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil, Lucas Dixon, Yiqing Hua, Dario Taraborelli, Nithum Thain
2018 J jnl
Conversations Gone Awry: Detecting Early Signs of Conversational Failure.
CoRR
Justine Zhang, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil, Lucas Dixon, Yiqing Hua, Nithum Thain, Dario Taraborelli
2018 C conf
Measuring and Mitigating Unintended Bias in Text Classification.
AIES
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
2018 A* conf
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community.
EMNLP
Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli, Nithum Thain, Jeffery Sorensen, Lucas Dixon
2018 J jnl
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community.
CoRR
Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli, Nithum Thain, Jeffery Sorensen, Lucas Dixon
2017 A* conf
Ex Machina: Personal Attacks Seen at Scale.
WWW
Ellery Wulczyn, Nithum Thain, Lucas Dixon
2016 J jnl
Ex Machina: Personal Attacks Seen at Scale.
CoRR
Ellery Wulczyn, Nithum Thain, Lucas Dixon
2014 — conf
To Save Or Not To Save: The Fisher Game.
WINE
Ruta Mehta, Nithum Thain, László A. Végh, Adrian Vetta
2012 B conf
A Theoretical Examination of Practical Game Playing: Lookahead Search.
SAGT
Vahab S. Mirrokni, Nithum Thain, Adrian Vetta
2012 J jnl
On the Implications of Lookahead Search in Game Playing
CoRR
Vahab S. Mirrokni, Nithum Thain, Adrian Vetta
2009 — conf
Computational Aspects of Multimarket Price Wars.
WINE
Nithum Thain, Adrian Vetta
2007 J jnl
Pick's Theorem via Minkowski's Theorem.
Am. Math. Mon.
M. Ram Murty, Nithum Thain