Author

Hanwen Zhang

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Preprint Aug 2026

Reifying Research Logic: AI-Assisted Workflow Construction and Incremental Refinement for Quantitative Syntax

QLWF is a visual workflow platform that turns natural-language research descriptions into executable workflows through an AI assisted five-stage pipeline that supports incremental refinement, so saved workflows can be revised by changing only the parts that need to change rather than being rebuilt from scratch.

He Wang, Jingbo Chen, Yuqiao Lai et al. · 0 citations

Preprint Aug 2026

Constraint-First Reasoning: A Training-Free Protocol for Exploiting Answer-Space Constraints in Mathematical Problem Solving

This work introduces Constraint-First Reasoning (CFR), a training-free two-stage prompting protocol that improves direct CoT on multiple backbones and positions CFR as a targeted test-time intervention whose benefit depends on recoverable constraints and reliable Stage 1 extraction.

Hongbo Ma, Bang Yang, Y. Cheng et al. · 0 citations