Papers by Linglong Kong
Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations (2024.naacl-long)
Copied to clipboard
| Challenge: | Pre-trained vector representations can inadvertently encode undesirable social biases. |
| Approach: | They propose a framework for reducing bias by transforming vector representations to an unbiased subspace using sufficient projection. |
| Outcome: | The proposed framework mitigates bias across debiasing and fairness tasks and across various vector representation types, including word embeddings and output representations of transformer models. |