Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate.

[BibT_eX]

[DOI]

Yuancheng Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective.

[BibT_eX]

[DOI]

Zhaotian Weng

Zijun Gao

Jerone Theodore Alexander Andrews

Jieyu Zhao

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

"You Gotta be a Doctor, Lin" : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations.

[BibT_eX]

[DOI]

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

InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context.

[BibT_eX]

[DOI]

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

Self-contradictory reasoning evaluation and detection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Multilingual large language models leak human stereotypes across language boundaries.

[BibT_eX]

[DOI]

CoRR, 2023

SCORE: A framework for Self-Contradictory Reasoning Evaluation.

[BibT_eX]

[DOI]

CoRR, 2023

Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making.

[BibT_eX]

[DOI]

CoRR, 2023

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment?

[BibT_eX]

[DOI]

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022

Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN.

[BibT_eX]

[DOI]

CoRR, 2022

DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation.

[BibT_eX]

[DOI]

CoRR, 2022

On Measures of Biases and Harms in NLP.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers.

[BibT_eX]

[DOI]

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

2021

What do Bias Measures Measure?

[BibT_eX]

[DOI]

CoRR, 2021

Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

LOGAN: Local Group Bias Detection by Clustering.

[BibT_eX]

[DOI]

Jieyu Zhao

Kai-Wei Chang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Mitigating Gender Bias Amplification in Distribution by Posterior Regularization.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Towards Understanding Gender Bias in Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Gender Bias in Contextualized Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Examining Gender Bias in Languages with Grammatical Gender.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Mitigating Gender Bias in Natural Language Processing: Literature Review.

[BibT_eX]

[DOI]