Papers by Zongru Shao

1 papers
Self-Guided Alignment: Adaptive Preference Sensing for Multi-Objective Generation (2026.acl-long)

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Challenge: Existing approaches to align LLMs with diverse human values rely on ground-truth scores . existing approaches implicitly approximate an average-user preference, thereby failing to capture heterogeneity of human values or accommodate conflicting user needs.
Approach: They propose a framework that transforms passive reward dependency into an intrinsic adaptive sensing capability.
Outcome: The proposed framework outperforms state-of-the-art models in multiple model scales and improves preference alignment.

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