DAIS: Dependency-Aware Intermediate QA Supervision for Complex Reasoning
Chain-of-thought (CoT) supervision exposes intermediate rationales, but flat rationale targets usually optimize a single reasoning sequence and provide limited supervision on how local conclusions should support later decisions. We introduce Dependency-Aware Intermediate QA Supervision (DAIS), a training-time framework that converts filtered teacher rationales into stage-level QA records. Each intermediate record predicts a local answer conditioned on the previous states needed for that decision, while the final-answer record keeps the original task format; evaluation therefore uses only the o
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- FuzzySimilar title/name (fuzzy) · 84%roboflow/supervision →
“Fuzzy title match (0.92): “DAIS: Dependency-Aware Intermediate QA Supervision for Compl” ≈ “roboflow/supervision””
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%modular/modular →
“Shared author/contributor keys: liu”
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- LinkedLinked via arxiv author · 85%Tianyu Wang →
“DAIS: Dependency-Aware Intermediate QA Supervision for Complex Reasoning”
- LinkedLinked via arxiv author · 85%Jiaming Fan →
“DAIS: Dependency-Aware Intermediate QA Supervision for Complex Reasoning”
- LinkedLinked via arxiv author · 85%Xicheng Zhang →
“DAIS: Dependency-Aware Intermediate QA Supervision for Complex Reasoning”
- LinkedLinked via arxiv author · 85%Zhiyong Li →
“DAIS: Dependency-Aware Intermediate QA Supervision for Complex Reasoning”
