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Fairness

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평가표

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보존된 평가 기록

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코드

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

https://github.com/brucewlee/moral-value-bias

공식 코드

When Prompting Fails to Sway: Inertia in Moral and Value Judgments of Large Language Models

https://github.com/bucuram/depression-datasets-nlp

공식 코드

On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook

https://github.com/bunsenfeng/polilean

공식 코드

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

https://github.com/bupt-ai-cz/tcnl

공식 코드

TCNL: Transparent and Controllable Network Learning Via Embedding Human-Guided Concepts

https://github.com/bupt-gamma/graphpar

공식 코드

Endowing Pre-trained Graph Models with Provable Fairness

https://github.com/burklight/VariationalPrivacyFairness

공식 코드

A Variational Approach to Privacy and Fairness

https://github.com/buseskorkmaz/fms-at-work

공식 코드

Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic Hiring

https://github.com/caiy0220/poe

공식 코드

Power of Explanations: Towards automatic debiasing in hate speech detection

https://github.com/calathea21/IFAC

공식 코드

Interpretable and Fair Mechanisms for Abstaining Classifiers

https://github.com/cambridgeltl/zepo

공식 코드

Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments

https://github.com/candiceschumann/groupfairtreatment

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Group Fairness in Bandit Arm Selection

https://github.com/caprirecsys/capri

공식 코드

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework

https://github.com/carsonyang518/aaai24-aes-afg

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Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability

https://github.com/case-lab-umd/counterfactual_fairness_2025

공식 코드

Towards counterfactual fairness through auxiliary variables

https://github.com/casl-ku/heteroswitch

공식 코드

HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning

https://github.com/casos-ideas-cmu/misinformation-resilient-search-rankings

공식 코드

Misinformation Resilient Search Rankings with Webgraph-based Interventions

https://github.com/caterinaurban/Libra

공식 코드

Perfectly Parallel Fairness Certification of Neural Networks

https://github.com/causal-disentanglement/disentanglement_lib

공식 코드

On Causally Disentangled Representations

https://github.com/causalNLP/moralmachine

공식 코드

Language Model Alignment in Multilingual Trolley Problems

https://github.com/causalml/boundsonfractionnegativelyaffected

공식 코드

What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment

https://github.com/causalnlp/multitp

공식 코드

Language Model Alignment in Multilingual Trolley Problems

https://github.com/cavalab/fomo

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Optimizing fairness tradeoffs in machine learning with multiobjective meta-models

https://github.com/cavalab/pmcboost

공식 코드

Fair admission risk prediction with proportional multicalibration

https://github.com/cbg-ethz/fairclust

공식 코드

Fair Clustering: A Causal Perspective

https://github.com/cc-jalvarez/counterfactual-situation-testing

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Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference

https://github.com/cc-jalvarez/initial-screening-order-problem

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The Initial Screening Order Problem

https://github.com/cc-jalvarez/revisiting-the-comparator

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Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing

https://github.com/cgcl-codes/nifa

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Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections

https://github.com/chahatraj/talentorluck

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Talent or Luck? Evaluating Attribution Bias in Large Language Models

https://github.com/chakrabarti/equitable_clustering

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A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center

https://github.com/chakrabarti/pairwise_constrained_clustering

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Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints

https://github.com/chandar-lab/cairo

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Why Don't Prompt-Based Fairness Metrics Correlate?

https://github.com/chandar-lab/debiasing-using-attention-regularization

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Should We Attend More or Less? Modulating Attention for Fairness

https://github.com/chandar-lab/eat

공식 코드

Should We Attend More or Less? Modulating Attention for Fairness

https://github.com/chandar-lab/fasp

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Fairness-Aware Structured Pruning in Transformers

https://github.com/changdaeoh/farconvae

공식 코드

Learning Fair Representation via Distributional Contrastive Disentanglement

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