conftrace_

bias mitigation

500 papers

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Co-occurring keywords

large language model (13587) gender bia (435) language model (4599) social bia (210) text classification (6793) algorithmic fairness (284) causal inference (1630) spurious correlation (279) bias detection (419) representation learning (6206)

Papers

Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications NAACL 2024
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback NAACL 2024
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation NIPS 2024
Topic-Aware Causal Intervention for Counterfactual Detection EMNLP 2024
An Overview of Recent Approaches to Enable Diversity in Large Language Models through Aligning with Human Perspectives COLING 2024
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes EMNLP 2024
Intersectionality in AI Safety: Using Multilevel Models to Understand Diverse Perceptions of Safety in Conversational AI COLING 2024
Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes COLING 2024
Language Bias in Multilingual Information Retrieval: The Nature of the Beast and Mitigation Methods EMNLP 2024
GIL-GALaD: Gender Inclusive Language - German Auto-Assembled Large Database COLING 2024
Beyond Performance: Quantifying and Mitigating Label Bias in LLMs NAACL 2024
Unpacking Bias: An Empirical Study of Bias Measurement Metrics, Mitigation Algorithms, and Their Interactions COLING 2024
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NIPS 2024
FairCLIP: Harnessing Fairness in Vision-Language Learning CVPR 2024
“Thinking” Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models EMNLP 2024
BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization ACL 2024
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective EMNLP 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective AAAI 2024
Studying and Mitigating Biases in Sign Language Understanding Models EMNLP 2024
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space AAAI 2024
Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases EMNLP 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024
OffsetBias: Leveraging Debiased Data for Tuning Evaluators EMNLP 2024
BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability EMNLP 2024
Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble EMNLP 2024