Papers by Amy X Zhang
SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment (2025.findings-acl)
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| Challenge: | In-context learning only considers similarity when drawing few-shot examples and not cross-group differences in values. |
| Approach: | They propose a framework that accounts for group-level differences during in-context example retrieval by using scenario banks, group-informed retrieval metrics, and in-constraint alignment prompts. |
| Outcome: | The proposed framework improves on an alignment task with groups seeing up to a +0.16 point improvement on a 5 point scale. |