conftrace_

bias mitigation

500 papers

Explore in graph

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

Characterizing Stereotypical Bias from Privacy-preserving Pre-Training ACL 2024
Robust Emotion Recognition in Context Debiasing CVPR 2024
Causal ATE Mitigates Unintended Bias in Controlled Text Generation EMNLP 2024
Mitigating Biases to Embrace Diversity: A Comprehensive Annotation Benchmark for Toxic Language EMNLP 2024
Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis EMNLP 2024
Eliciting Uncertainty in Chain-of-Thought to Mitigate Bias against Forecasting Harmful User Behaviors EMNLP 2024
Aligning Large Language Models with Diverse Political Viewpoints EMNLP 2024
Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias EMNLP 2024
Giving Control Back to Models: Enabling Offensive Language Detection Models to Autonomously Identify and Mitigate Biases EMNLP 2024
BiasDora: Exploring Hidden Biased Associations in Vision-Language Models EMNLP 2024
Addressing Bias and Hallucination in Large Language Models COLING 2024
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation NIPS 2024
Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks NIPS 2024
Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension ACL 2023
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges IJCAI 2023
Bias On Demand: Investigating Bias with a Synthetic Data Generator IJCAI 2023
Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language EMNLP 2023
ConPrompt: Pre-training a Language Model with Machine-Generated Data for Implicit Hate Speech Detection EMNLP 2023
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting ACL 2023
PEFTDebias : Capturing debiasing information using PEFTs EMNLP 2023
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques EMNLP 2023
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models EMNLP 2023
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions EMNLP 2023
Conceptor-Aided Debiasing of Large Language Models EMNLP 2023
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation EMNLP 2023