Papers by Sungha Choi
Feedback Adaptation for Retrieval-Augmented Generation (2026.findings-acl)
Copied to clipboard
| Challenge: | Existing evaluation protocols focus on overall accuracy and fail to capture how systems adapt after feedback is introduced. |
| Approach: | They propose to use feedback adaptation as a problem setting for RAG systems . they propose a minimal inference-time instantiation that incorporates feedback without retraining . |
| Outcome: | The proposed evaluations show that training-based approaches exhibit a trade-off between delayed correction and reliable adaptation. |