Papers by Haiyong Xu

2 papers
Uncovering the Impact of Chain-of-Thought Reasoning for Direct Preference Optimization: Lessons from Text-to-SQL (2025.acl-long)

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Challenge: Direct Preference Optimization (DPO) is effective in complex reasoning tasks like math word problems and code generation, but Text-to-SQL datasets often include only final answers (gold SQL queries) without detailed CoT solutions.
Approach: They found that Direct Preference Optimization (DPO) is crucial for unlocking DPO's potential by augmenting Text-to-SQL datasets with synthetic CoT solutions.
Outcome: The proposed method achieves consistent and significant performance improvements on Text-to-SQL datasets.
UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction (2022.emnlp-main)

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Challenge: Existing approaches to extract rich correlations between entities and relations are not fully exploited by existing methods.
Approach: They propose to unify entities and relations by jointly encoding them within a concatenated natural language sequence and unify the modeling of interactions with a proposed Interaction Map.
Outcome: The proposed method is more efficient and efficient than existing methods and can be scaled up to 2021.

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