SOTAVerified

Bias Detection

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

Papers

Showing 125 of 199 papers

TitleStatusHype
Galactica: A Large Language Model for ScienceCode4
Explainable AI in Spatial AnalysisCode2
SynthesizRR: Generating Diverse Datasets with Retrieval AugmentationCode1
Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset CollectionCode1
New Job, New Gender? Measuring the Social Bias in Image Generation ModelsCode1
StereoSet: Measuring stereotypical bias in pretrained language modelsCode1
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like BiasesCode1
BiasAsker: Measuring the Bias in Conversational AI SystemCode1
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness MetricsCode1
Towards explainable classifiers using the counterfactual approach -- global explanations for discovering bias in dataCode1
Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By ExpertsCode1
Neural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By ExpertsCode1
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudCode1
OpenBias: Open-set Bias Detection in Text-to-Image Generative ModelsCode1
Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for HallucinationsCode1
Counterfactual Token Generation in Large Language ModelsCode1
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsCode1
Debiased Visual Question Answering from Feature and Sample PerspectivesCode1
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from ListsCode1
Explainable AI for computational pathology identifies model limitations and tissue biomarkersCode1
Exploring Visual Engagement Signals for Representation LearningCode1
Learning to Split for Automatic Bias DetectionCode1
MT-LENS: An all-in-one Toolkit for Better Machine Translation EvaluationCode1
BAD: BiAs Detection for Large Language Models in the context of candidate screeningCode1
The Hidden Language of Diffusion ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-2 (small)ICAT Score72.97Unverified
2XLNet (large)ICAT Score72.03Unverified
3GPT-2 (medium)ICAT Score71.73Unverified
4BERT (base)ICAT Score71.21Unverified
5GPT-2 (large)ICAT Score70.54Unverified
6BERT (large)ICAT Score69.89Unverified
7RoBERTa (base)ICAT Score67.5Unverified
8GAL 120BICAT Score65.6Unverified
9XLNet (base)ICAT Score62.1Unverified
10GPT-3 (text-davinci-002)ICAT Score60.8Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4Best-of0.5Unverified
2BaselineBest-of0.41Unverified
3GemmaBest-of0.41Unverified
4MistralBest-of0.36Unverified
5Llama2Best-of0.34Unverified
#ModelMetricClaimedVerifiedStatus
1BADICAT Score23.44Unverified
#ModelMetricClaimedVerifiedStatus
1RandomForest_default_hyperparametersAccuracy (%)49Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa+ALBERTF170.4Unverified