Author

Yuanning Feng

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Preprint Jul 2026

Leveraging Instruction Tuning and Merging for Reasoning Model Adaptation

This work uses classic instruction tuning, supervised fine-tuning without reasoning traces, on the RLM to improve RLM performance in both verifiable and hard-to-verify domains, including coding and text summarization, while preserving RLM capabilities across other domains.

Yuanning Feng, Niels Mündler-Sasahara, Mark Vero et al. · 0 citations