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Bias Detection
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Bias detection is the task of detecting and measuring racism, sexism and otherwise discriminatory behavior in a model (Source: https://stereoset.mit.edu/)
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
LLM-Generated Feedback Supports Learning If Learners Choose to Use It
Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
Recover Experimental Data with Selection Bias using Counterfactual Logic
Cascading Adversarial Bias from Injection to Distillation in Language Models
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions
BiasLab: Toward Explainable Political Bias Detection with Dual-Axis Annotations and Rationale Indicators
Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector
To Bias or Not to Bias: Detecting bias in News with bias-detector
Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
Can Global XAI Methods Reveal Injected Bias in LLMs? SHAP vs Rule Extraction vs RuleSHAP
Efficient Fairness Testing in Large Language Models: Prioritizing Metamorphic Relations for Bias Detection
Explainable AI in Spatial Analysis
BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models
Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases and Beyond
Neutralizing the Narrative: AI-Powered Debiasing of Online News Articles
STOOD-X methodology: using statistical nonparametric test for OOD Detection Large-Scale datasets enhanced with explainability
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding
When Selection Meets Intervention: Additional Complexities in Causal Discovery
On the Mutual Influence of Gender and Occupation in LLM Representations
Fine-Grained Bias Detection in LLM: Enhancing detection mechanisms for nuanced biases
Cognitive Bias Detection Using Advanced Prompt Engineering
Determinants of the Spousal Age Gap in India: Analysis of Indian Microdata
Visual Reasoning Evaluation of Grok, Deepseek Janus, Gemini, Qwen, Mistral, and ChatGPT
Robust Bias Detection in MLMs and its Application to Human Trait Ratings
Detecting Linguistic Bias in Government Documents Using Large language Models
Towards Equitable AI: Detecting Bias in Using Large Language Models for Marketing
ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling
BiaSWE: An Expert Annotated Dataset for Misogyny Detection in Swedish
FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing
LLMs can be easily Confused by Instructional Distractions
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