Ari Kobren

28 papers A* 9A 1Journal 9Unranked 9
YearRankTypeTitle / Venue / Authors
2024 A* conf
Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations.
EMNLP
Sagi Shaier, Ari Kobren, Philip V. Ogren
2024 J jnl
Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations.
CoRR
Sagi Shaier, Ari Kobren, Philip V. Ogren
2024 J jnl
Understanding the Interplay of Scale, Data, and Bias in Language Models: A Case Study with BERT.
CoRR
Muhammad Ali, Swetasudha Panda, Qinlan Shen, Michael L. Wick, Ari Kobren
2022 — conf
Don't Just Clean It, Proxy Clean It: Mitigating Bias by Proxy in Pre-Trained Models.
EMNLP (Findings)
Swetasudha Panda, Ari Kobren, Michael L. Wick, Qinlan Shen
2022 — conf
Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models.
ACL (1)
Ryan Steed, Swetasudha Panda, Ari Kobren, Michael L. Wick
2021 A conf
Online Post-Processing in Rankings for Fair Utility Maximization.
WSDM
Ananya Gupta, Eric Johnson, Justin Payan, Aditya Kumar Roy, Ari Kobren, Swetasudha Panda, Jean-Baptiste Tristan, Michael L. Wick
2020 — conf
Leveraging Extracted Model Adversaries for Improved Black Box Attacks.
BlackboxNLP@EMNLP
Naveen Jafer Nizar, Ari Kobren
2020 J jnl
Leveraging Extracted Model Adversaries for Improved Black Box Attacks.
CoRR
Naveen Jafer Nizar, Ari Kobren
2020 — conf
Predicting Institution Hierarchies with Set-based Models.
AKBC
Derek Tam, Nicholas Monath, Ari Kobren, Andrew McCallum
2020 J jnl
Scalable Hierarchical Clustering with Tree Grafting.
CoRR
Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum
2019 A* conf
Constructing High Precision Knowledge Bases with Subjective and Factual Attributes.
KDD
Ari Kobren, Pablo Barrio, Oksana Yakhnenko, Johann Hibschman, Ian Langmore
2019 J jnl
Constructing High Precision Knowledge Bases with Subjective and Factual Attributes.
CoRR
Ari Kobren, Pablo Barrio, Oksana Yakhnenko, Johann Hibschman, Ian Langmore
2019 — conf
Integrating User Feedback under Identity Uncertainty in Knowledge Base Construction.
AKBC
Ari Kobren, Nicholas Monath, Andrew McCallum
2019 A* conf
Offline Contextual Bandits with High Probability Fairness Guarantees.
NeurIPS
Blossom Metevier, Stephen Giguere, Sarah Brockman, Ari Kobren, Yuriy Brun, Emma Brunskill, Philip S. Thomas
2019 — conf
Optimal Transport-based Alignment of Learned Character Representations for String Similarity.
ACL (1)
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum
2019 J jnl
Optimal Transport-based Alignment of Learned Character Representations for String Similarity.
CoRR
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum
2019 A* conf
Paper Matching with Local Fairness Constraints.
KDD
Ari Kobren, Barna Saha, Andrew McCallum
2019 J jnl
Paper Matching with Local Fairness Constraints.
CoRR
Ari Kobren, Barna Saha, Andrew McCallum
2019 A* conf
Scalable Hierarchical Clustering with Tree Grafting.
KDD
Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum
2019 A* conf
Supervised Hierarchical Clustering with Exponential Linkage.
ICML
Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew McCallum
2019 J jnl
Supervised Hierarchical Clustering with Exponential Linkage.
CoRR
Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew McCallum
2018 A* conf
Compact Representation of Uncertainty in Clustering.
NeurIPS
Craig S. Greenberg, Nicholas Monath, Ari Kobren, Patrick Flaherty, Andrew McGregor, Andrew McCallum
2017 A* conf
A Hierarchical Algorithm for Extreme Clustering.
KDD
Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, Andrew McCallum
2017 J jnl
An Online Hierarchical Algorithm for Extreme Clustering.
CoRR
Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, Andrew McCallum
2017 — conf
Entity-centric Attribute Feedback for Interactive Knowledge Bases.
AKBC@NIPS
Ari Kobren, Nicholas Monath, Andrew McCallum
2015 A* conf
Getting More for Less: Optimized Crowdsourcing with Dynamic Tasks and Goals.
WWW
Ari Kobren, Chun How Tan, Panagiotis G. Ipeirotis, Evgeniy Gabrilovich
2013 — conf
Assessing confidence of knowledge base content with an experimental study in entity resolution.
AKBC@CIKM
Michael L. Wick, Sameer Singh, Ari Kobren, Andrew McCallum
2013 — conf
Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013.
TAC
Sameer Singh, Limin Yao, David Belanger, Ari Kobren, Sam Anzaroot, Mike Wick, Alexandre Passos, Harshal Pandya, Jinho D. Choi, Brian Martin, Andrew McCallum