Papers by Baohua Dong

2 papers
Reason from Future: Reverse Thought Chain Enhances LLM Reasoning (2025.findings-acl)

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Challenge: Existing reasoning paradigms that focus on local optimum reasoning lack global perspective.
Approach: They propose a bidirectional reasoning paradigm that generates reasoning paths by bidirectional planning and bottom-up reasoning accumulation.
Outcome: The proposed reasoning paradigm outperforms conventional paradigms with higher accuracy and less searching space to solve complex tasks.
HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsing (2022.findings-acl)

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Challenge: Recent studies focus on context-dependent text-to-SQL task but fail to exploit both . et al., 2019; xu e. al.; yu y., 2021) focus on the context-independent text to SQL task .
Approach: They propose a history information enhanced text-to-SQL model to exploit context dependence information from history utterances and the last predicted SQL query.
Outcome: The proposed model improves performance on two context-dependent text-to-SQL benchmarks.

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