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bias detection

419 papers

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large language model (12755) gender bia (433) text classification (6776) language model (4573) fairness evaluation (112) social bia (206) sentiment analysis (2079) natural language processing (2027) bias mitigation (492) responsible ai (181)

Papers

Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models EMNLP 2022
Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective ACL 2022
Anatomizing Bias in Facial Analysis AAAI 2022
Understanding Gender Bias in Knowledge Base Embeddings ACL 2022
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information EMNLP 2022
The (Undesired) Attenuation of Human Biases by Multilinguality EMNLP 2022
Text Characterization Toolkit (TCT) IJCNLP 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models NAACL 2022
A Comparative Study on Word Embeddings and Social NLP Tasks NAACL 2022
What Do You See in this Patient? Behavioral Testing of Clinical NLP Models NAACL 2022
Sense Embeddings are also Biased – Evaluating Social Biases in Static and Contextualised Sense Embeddings ACL 2022
Exploring the Effects of Negation and Grammatical Tense on Bias Probes IJCNLP 2022
Evaluating Gender Bias Transfer from Film Data NAACL 2022
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces EACL 2021
Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media EMNLP 2021
Certifying Robustness to Programmable Data Bias in Decision Trees NIPS 2021
Uncovering Latent Biases in Text: Method and Application to Peer Review AAAI 2021
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets AAAI 2021
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection AAAI 2021
Discover the Unknown Biased Attribute of an Image Classifier ICCV 2021
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability ICML 2021
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives ACL 2021
Sexism in the Judiciary: The Importance of Bias Definition in NLP and In Our Courts ACL 2021
Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models NAACL 2021
Fine-Grained Fairness Analysis of Abusive Language Detection Systems with CheckList IJCNLP 2021