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Ke-Xin Yang

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#artificial intelligence Preprint Sep 2026

The Imitation Game: When LLMs Learn to Reason Like Programs via Code-Centric Reasoning Data Synthesis

The proposed MIMIC framework fundamentally transforms algorithms into verifiable reasoning trajectories through narrative fusion, code-guided test synthesis, and dynamic code instrumentation, demonstrating that the procedural rigor of executable code can effectively unlock and enhance the generalized reasoning capabili...

Jin-Yang Zhang, Wei-Bin Liao, Ke-Qin Bao et al. · 0 citations
Jul 2026

BridgeAlign: Bridging Preference Alignment for Humanities and Social Sciences

Aligning over 210k synthetic preference samples, BridgeAlign enables Qwen3-8B to achieve the best average across 17 benchmarks against 11 strong baselines, leading on both human-preference and knowledge-based capabilities at once, with no trade-off between them.

Ru Peng, Haokai Xu, Xijun Gu et al. · 0 citations

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