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Bias Detection

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하위 태스크: 1
평가표: 5
보존된 평가 기록: 19

Bias detection is the task of detecting and measuring racism, sexism and otherwise discriminatory behavior in a model (Source: https://stereoset.mit.edu/)

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/askhanatgithub/DRI_ITE

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On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement

https://github.com/aws/amazon-sagemaker-clarify

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Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud

https://github.com/baowenxuan/boba

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BOBA: Byzantine-Robust Federated Learning with Label Skewness

https://github.com/berryxue/PIF

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Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors

https://github.com/betsyhj/dancer

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It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic

https://github.com/betsyhj/multifactorialbias

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Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems

https://github.com/bidalab/ifbid

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IFBiD: Inference-Free Bias Detection

https://github.com/bnn-upc/graphlaxy

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Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset Generation

https://github.com/chen-gx/cie

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Causality and Independence Enhancement for Biased Node Classification

https://github.com/christopher-br/cbrnet

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Using representation balancing to learn conditional-average dose responses from clustered data

https://github.com/chujiezheng/llm-mcq-bias

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Large Language Models Are Not Robust Multiple Choice Selectors

https://github.com/cleolotta/fair-and-private-lm

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Trade-Offs Between Fairness and Privacy in Language Modeling

https://github.com/clinicalml/rct-obs-extrapolation

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Falsification before Extrapolation in Causal Effect Estimation

https://github.com/congjiang/tnddr

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A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data

https://github.com/conradborchers/ai-feedback-exp

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LLM-Generated Feedback Supports Learning If Learners Choose to Use It

https://github.com/csebuetnlp/BanglaSocialBias

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Social Bias in Large Language Models For Bangla: An Empirical Study on Gender and Religious Bias

https://github.com/csinva/matching-with-gans

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Matched sample selection with GANs for mitigating attribute confounding

https://github.com/csquires/dct-policy

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Active Structure Learning of Causal DAGs via Directed Clique Tree

https://github.com/cynthpie/synthia_melody

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Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio

https://github.com/davidinouye/adp

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Automated Dependence Plots

https://github.com/dmirlab-group/rest

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REST: Debiased Social Recommendation via Reconstructing Exposure Strategies

https://github.com/edisonni-hku/diras

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DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation

https://github.com/ehsan-mokhtarian/l-marvel

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Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias

https://github.com/ethical-spectacle/fair-ly

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GUS-Net: Social Bias Classification in Text with Generalizations, Unfairness, and Stereotypes

https://github.com/fanyunfeng-bit/balanced-modality-selection-in-mfl

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Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection

https://github.com/francesco-sovrano/ruleshap

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Can Global XAI Methods Reveal Injected Bias in LLMs? SHAP vs Rule Extraction vs RuleSHAP

https://github.com/fvialibre/edia

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A methodology to characterize bias and harmful stereotypes in natural language processing in Latin America

https://github.com/g8a9/ear

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Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists

https://github.com/ggcr/tinyemo

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TinyEmo: Scaling down Emotional Reasoning via Metric Projection

https://github.com/ghzhang233/Non-Discrimination-Learning-for-Text-Classification

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Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting

https://github.com/google-research/google-research

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Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness

https://github.com/googlebaba/IJCAI2020-DCKM

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Decorrelated Clustering with Data Selection Bias

https://github.com/greek-nlp/survey

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Towards Systematic Monolingual NLP Surveys: GenA of Greek NLP

https://github.com/guosyjlu/MRDR-DL

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Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation

https://github.com/h-amirkhani/debiasing-assumption

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Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques

https://github.com/haoxuanli-pku/iclr24-interference

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Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference

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