Papers by Taeyoun Kim
Mitigating Bias in RAG: Controlling the Embedder (2025.findings-acl)
Copied to clipboard
| Challenge: | a promising modular AI system enhances factuality and privacy in large language models . however, each component introduces its own biases into the RAG system, which could cause representational harm and unsafe user interactions. |
| Approach: | They study the conflict between biases of each component and their relationship to the overall bias of the retrieval augmented generation system. |
| Outcome: | The proposed model can be controlled by the embedder while maintaining utility . the proposed model is more fair than existing models, the authors show . |