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

From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space AAAI 2024
Do Multilingual Large Language Models Mitigate Stereotype Bias? ACL 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024
A Parameter-Efficient Multi-Objective Approach to Mitigate Stereotypical Bias in Language Models ACL 2024
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback NAACL 2024
Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models ACL 2024
From ‘Showgirls’ to ‘Performers’: Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs ACL 2024
MBIAS: Mitigating Bias in Large Language Models While Retaining Context ACL 2024
Mitigating Bias for Question Answering Models by Tracking Bias Influence NAACL 2024
Beyond Performance: Quantifying and Mitigating Label Bias in LLMs NAACL 2024
Overview of PerspectiveArg2024 The First Shared Task on Perspective Argument Retrieval ACL 2024
Mitigating Spurious Correlations via Disagreement Probability NIPS 2024
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination ACL 2024
Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations NAACL 2024
Likelihood-based Mitigation of Evaluation Bias in Large Language Models ACL 2024
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective EMNLP 2024
Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP ACL 2024
Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions EMNLP 2024
Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble EMNLP 2024
OffsetBias: Leveraging Debiased Data for Tuning Evaluators EMNLP 2024
Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases EMNLP 2024
Giving Control Back to Models: Enabling Offensive Language Detection Models to Autonomously Identify and Mitigate Biases EMNLP 2024
BELIEVE: Belief-Enhanced Instruction Generation and Augmentation for Zero-Shot Bias Mitigation NAACL 2024
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs EMNLP 2024
On the Interplay between Fairness and Explainability NAACL 2024