Ari Kobren

According to our database, Ari Kobren authored at least 22 papers between 2013 and 2024.

Collaborative distances:

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

2024

Understanding the Interplay of Scale, Data, and Bias in Language Models: A Case Study with BERT.

Muhammad Ali, Swetasudha Panda, Qinlan Shen, Michael L. Wick, Ari Kobren

CoRR, 2024

Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations.

Sagi Shaier, Ari Kobren, Philip V. Ogren

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022

Don't Just Clean It, Proxy Clean It: Mitigating Bias by Proxy in Pre-Trained Models.

Swetasudha Panda, Ari Kobren, Michael L. Wick, Qinlan Shen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models.

Ryan Steed, Swetasudha Panda, Ari Kobren, Michael L. Wick

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity.

Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Online Post-Processing in Rankings for Fair Utility Maximization.

Ananya Gupta, Eric Johnson, Justin Payan, Aditya Kumar Roy, Ari Kobren, Swetasudha Panda, Jean-Baptiste Tristan, Michael L. Wick

Proceedings of the WSDM '21, 2021

2020

Leveraging Extracted Model Adversaries for Improved Black Box Attacks.

Naveen Jafer Nizar, Ari Kobren

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

Predicting Institution Hierarchies with Set-based Models.

Derek Tam, Nicholas Monath, Ari Kobren, Andrew McCallum

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019

Offline Contextual Bandits with High Probability Fairness Guarantees.

Blossom Metevier, Stephen Giguere, Sarah Brockman, Ari Kobren, Yuriy Brun, Emma Brunskill, Philip S. Thomas

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Scalable Hierarchical Clustering with Tree Grafting.

Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Paper Matching with Local Fairness Constraints.

Ari Kobren, Barna Saha, Andrew McCallum

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Constructing High Precision Knowledge Bases with Subjective and Factual Attributes.

Ari Kobren, Pablo Barrio, Oksana Yakhnenko, Johann Hibschman, Ian Langmore

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Supervised Hierarchical Clustering with Exponential Linkage.

Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew McCallum

Proceedings of the 36th International Conference on Machine Learning, 2019

Integrating User Feedback under Identity Uncertainty in Knowledge Base Construction.

Ari Kobren, Nicholas Monath, Andrew McCallum

Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

Optimal Transport-based Alignment of Learned Character Representations for String Similarity.

Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Compact Representation of Uncertainty in Clustering.

Craig S. Greenberg, Nicholas Monath, Ari Kobren, Patrick Flaherty, Andrew McGregor, Andrew McCallum

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

An Online Hierarchical Algorithm for Extreme Clustering.

Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, Andrew McCallum

CoRR, 2017

A Hierarchical Algorithm for Extreme Clustering.

Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, Andrew McCallum

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Entity-centric Attribute Feedback for Interactive Knowledge Bases.

Ari Kobren, Nicholas Monath, Andrew McCallum

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2015

Getting More for Less: Optimized Crowdsourcing with Dynamic Tasks and Goals.

Ari Kobren, Chun How Tan, Panagiotis G. Ipeirotis, Evgeniy Gabrilovich

Proceedings of the 24th International Conference on World Wide Web, 2015

2013

Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013.

Sameer Singh, Limin Yao, David Belanger, Ari Kobren, Sam Anzaroot, Mike Wick, Alexandre Passos, Harshal Pandya, Jinho D. Choi, Brian Martin, Andrew McCallum

Proceedings of the Sixth Text Analysis Conference, 2013

Assessing confidence of knowledge base content with an experimental study in entity resolution.

Michael L. Wick, Sameer Singh, Ari Kobren, Andrew McCallum

Proceedings of the 2013 workshop on Automated knowledge base construction, 2013