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ScopeIF: Improving Scope-Aware Precise Instruction-Following in Large Language Models via Graded Reward Modeling

This work proposes ScopeIF, a novel training framework for scope-aware precise instruction-following that enables optimized Qwen3-4B and 8B models to rival or surpass strong frontier models such as Gemini-2.5-Pro and DeepSeek-V3.2, establishing an effective paradigm for advancing scope-aware instruction-following.

Bo-Si Wen, Yi-Lin Niu, Xia Ning et al. · 0 citations

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