Papers by Peipeng Yu

1 papers
C2PO: Diagnosing and Disentangling Bias Shortcuts in LLMs (2026.findings-acl)

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Challenge: Existing approaches to solve large language models address stereotypical and structural biases in isolation . however, prior paradigms address these in isolation, often at the expense of exacerbating the other .
Approach: They propose a framework to tackle latent spurious feature correlations within input that drive erroneous reasoning shortcuts.
Outcome: The proposed framework mitigates stereotypical and structural biases while preserving robust general reasoning capabilities.

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