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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/heyyyyyyg/cfie

공식 코드

Uncovering Main Causalities for Long-tailed Information Extraction

https://github.com/hila-chefer/Conceptor

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The Hidden Language of Diffusion Models

https://github.com/himel1996/newsbiasdetector

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To Bias or Not to Bias: Detecting bias in News with bias-detector

https://github.com/hlzhang109/transtee

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Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation

https://github.com/hyz20/cld

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Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition

https://github.com/idsia-papers/2022-pgm-selection

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Bounding Counterfactuals under Selection Bias

https://github.com/idsia-papers/2023-ijar-bias-hybrid

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Learning to Bound Counterfactual Inference from Observational, Biased and Randomised Data

https://github.com/igraugar/fcp

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Forward Composition Propagation for Explainable Neural Reasoning

https://github.com/iml-dkfz/latec

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Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics

https://github.com/innodatalabs/innodata-llm-safety

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Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for Hallucinations

https://github.com/integrated-intelligence-lab/canonical_sets

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LUCID-GAN: Conditional Generative Models to Locate Unfairness

https://github.com/jayjayc/scary

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The Structurally Complex with Additive Parent Causality (SCARY) Dataset

https://github.com/jenninglim/multiscale-features

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More Powerful Selective Kernel Tests for Feature Selection

https://github.com/jiawei-chen/RecDebiasing

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Bias and Debias in Recommender System: A Survey and Future Directions

https://github.com/jjfeng/monitoring_ml_cmi

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Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions

https://github.com/jmdvinodjmd/SSB_MLHC

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Sample Selection Bias in Machine Learning for Healthcare

https://github.com/joanagoncalveslab/DCAST

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DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning

https://github.com/joanagoncalveslab/metric-dst

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Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning

https://github.com/jordan-hs/rss-interference-cvprw2022

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Does Interference Exist When Training a Once-For-All Network?

https://github.com/jovasque156/disparisk

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DispaRisk: Auditing Fairness Through Usable Information

https://github.com/jshang123/G-Bert

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Pre-training of Graph Augmented Transformers for Medication Recommendation

https://github.com/julian-risch/JCDL2018

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My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections

https://github.com/jvpoulos/homesteads

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State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction

https://github.com/kaczmarj/hippo

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Explainable AI for computational pathology identifies model limitations and tissue biomarkers

https://github.com/kadarsh22/denetdm

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DeNetDM: Debiasing by Network Depth Modulation

https://github.com/kamruzzaman15/identifying-subtler-biases-in-llms

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Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models

https://github.com/kanekomasahiro/evaluate_bias_in_mlm

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Unmasking the Mask -- Evaluating Social Biases in Masked Language Models

https://github.com/kikimormay/fsl-tcbr

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Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid

https://github.com/koh-t/SC-CFR

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Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference

https://github.com/kolyanray/Bayesian-Causal-Inference

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Debiased Bayesian inference for average treatment effects

https://github.com/kuleens/vlmbiaseval

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debiaSAE: Benchmarking and Mitigating Vision-Language Model Bias

https://github.com/l294265421/SIGIR22-TOWE

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Training Entire-Space Models for Target-oriented Opinion Words Extraction

https://github.com/langtech-bsc/mt-evaluation

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MT-LENS: An all-in-one Toolkit for Better Machine Translation Evaluation

https://github.com/lguerdan/cp_ome

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Counterfactual Prediction Under Outcome Measurement Error

https://github.com/lodino/crab

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Consistent Range Approximation for Fair Predictive Modeling

https://github.com/longjp/causal-bias-code

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Sample Selection Bias in Evaluation of Prediction Performance of Causal Models

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