Brendan Kennedy

Orcid: 0000-0001-7252-7475

Affiliations:
  • Pacific Northwest National Laboratory, WA, USA
  • University of Southern California, Los Angeles, CA, USA (PhD 2022)


According to our database1, Brendan Kennedy authored at least 21 papers between 2015 and 2024.

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Bibliography

2024
Surprisingly Fragile: Assessing and Addressing Prompt Instability in Multimodal Foundation Models.
CoRR, 2024

Reinforced Multiple Instance Selection for Speaker Attribute Prediction.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023
Hate Speech Classifiers Learn Normative Social Stereotypes.
Trans. Assoc. Comput. Linguistics, 2023

Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Introducing the Gab Hate Corpus: defining and applying hate-based rhetoric to social media posts at scale.
Lang. Resour. Evaluation, 2022

Identifying geopolitical event precursors using attention-based LSTMs.
Frontiers Artif. Intell., 2022

Social-Group-Agnostic Word Embedding Debiasing via the Stereotype Content Model.
CoRR, 2022

The Moral Foundations Reddit Corpus.
CoRR, 2022

2021
Hate Speech Classifiers Learn Human-Like Social Stereotypes.
CoRR, 2021

Improving Counterfactual Generation for Fair Hate Speech Detection.
CoRR, 2021

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
Efficiently Mitigating Classification Bias via Transfer Learning.
CoRR, 2020

Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals.
CoRR, 2020

Hatred is in the Eye of the Annotator: Hate Speech Classifiers Learn Human-Like Social Stereotypes.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Contextualizing Hate Speech Classifiers with Post-hoc Explanation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Incorporating Demographic Embeddings Into Language Understanding.
Cogn. Sci., 2019

Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Subtle differences in language experience moderate performance on language-based cognitive tests.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Language in Context: Incorporating Demographic Embeddings into Language Understanding.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2016
Investigating the effects of majority voting on CAD systems: a LIDC case study.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015
Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015


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