Papers by Wuqiong Luo

1 papers
Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference (2026.findings-eacl)

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Challenge: Prior studies have examined the impact of structured output on LLMs’ generation quality, often presenting one-way findings.
Approach: They propose to derive five potential causal structures characterizing the influence of structured output on LLMs’ generation using one assumed and two guaranteed constraints.
Outcome: The proposed pipeline can be extended to other modules and is not limited to structured output but can be used in industrial applications.

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