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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/ltu-machine-learning/bipolswedish

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Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets

https://github.com/manandey/bias_machine_translation

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How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts

https://github.com/med-air/top-gpm

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Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data

https://github.com/media-bias-analysis-group/neural-media-bias-detection-using-distant-supervision-with-babe

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Neural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By Experts

https://github.com/media-bias-group/a-domain-adaptive-pre-training-approach-for-language-biasdetection-in-news

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A Domain-adaptive Pre-training Approach for Language Bias Detection in News

https://github.com/media-bias-group/magpie-multi-task

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MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions

https://github.com/media-bias-group/mbib

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Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collection

https://github.com/media-bias-group/media-bias-taxonomy

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The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias

https://github.com/mfederici/dsit

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An Information-theoretic Approach to Distribution Shifts

https://github.com/mianzg/kgbiasdetec

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Towards Automatic Bias Detection in Knowledge Graphs

https://github.com/mkuzma96/cg-ct

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Causal Machine Learning for Cost-Effective Allocation of Development Aid

https://github.com/modeloriented/fairpan

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fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation

https://github.com/moinnadeem/StereoSet

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StereoSet: Measuring stereotypical bias in pretrained language models

https://github.com/moreno98/gradbias

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GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models

https://github.com/namhkoh/bad-bias-detection-in-llms

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BAD: BiAs Detection for Large Language Models in the context of candidate screening

https://github.com/nanguoshun/IVG

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Interventional Video Grounding with Dual Contrastive Learning

https://github.com/networks-learning/counterfactual-llms

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Counterfactual Token Generation in Large Language Models

https://github.com/niftynans/matched_CFR

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Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects

https://github.com/nkny/bandwagonictir2022

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The Bandwagon Effect: Not Just Another Bias

https://github.com/ntudsp/singapore-soundscape-site-selection-survey

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Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering

https://github.com/ntunlp/chatgpt_eval

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A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets

https://github.com/octeufer/Adversarial-Balancing-based-representation-learning-for-Causal-Effect-Inference

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Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data

https://github.com/paperswithcode/galai

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Galactica: A Large Language Model for Science

https://github.com/peteryang1031/causal-gwib

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Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck

https://github.com/philipboeken/debiased_regression

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Correcting for Selection Bias and Missing Response in Regression using Privileged Information

https://github.com/philipversteeg/sbcd

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Local Constraint-Based Causal Discovery under Selection Bias

https://github.com/picsart-ai-research/openbias

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OpenBias: Open-set Bias Detection in Text-to-Image Generative Models

https://github.com/ra-ysa/gender_law_nlp

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Gender Bias Detection in Court Decisions: A Brazilian Case Study

https://github.com/recflow-iclr/recflow

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RecFlow: An Industrial Full Flow Recommendation Dataset

https://github.com/rfgong/IVaps

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Algorithm as Experiment: Machine Learning, Market Design, and Policy Eligibility Rules

https://github.com/riiid/useraif

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Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach

https://github.com/shainarazavi/vilbias

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ViLBias: A Comprehensive Framework for Bias Detection through Linguistic and Visual Cues , presenting Annotation Strategies, Evaluation, and Key Challenges

https://github.com/sharif-ml-lab/GABInsight

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GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models

https://github.com/shashankg7/bias-preference-elicitation

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A First Look at Selection Bias in Preference Elicitation for Recommendation

https://github.com/shifwang/paper-debiased-feature-importance

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A Debiased MDI Feature Importance Measure for Random Forests

https://github.com/shirara1016/si_for_cpd_by_rnn

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Selective Inference for Changepoint detection by Recurrent Neural Network

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