Papers with DS2-Instruct

1 papers
DS2-Instruct: Domain-Specific Data Synthesis for Large Language Models Instruction Tuning (2026.findings-eacl)

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Challenge: Existing data synthesis methods focus on general-purpose tasks and fail to capture domain-specific terminology and reasoning patterns.
Approach: They propose a framework that generates domain-specific instruction datasets without human supervision by pairing task-informed keywords with different cognitive levels from Bloom’s Taxonomy.
Outcome: The proposed framework generates domain-specific instruction datasets without human supervision and achieves significant improvements over existing methods.

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