Author

Xiao-Xia Wu

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#natural language process... Preprint Sep 2026

Osprey: Target-agnostic Pre-training Makes Stronger Drafters in Speculative Decoding

Speculative decoding is critical for accelerating LLM inference. However, the speedup is fragile: drafters are typically trained against a narrow distribution for a single target model, and their acceptance rate collapses under workload shifts. This is a striking inversion of modern LLM development, where target models...

Fengxiang Bie, Yu-Qing Jian, Yi-Fan Yu et al. · 0 citations

Jul 2026

ISO: An RLVR-Native Optimization Stack

Reinforcement learning with verifiable rewards (RLVR) is rapidly advancing the reasoning capabilities of language models, yet the optimization layer that converts reward feedback into weight-space updates remains poorly understood. Building on our prior analysis (Zhu et al., 2025), we study this missing layer through t...

Hanqing Zhu, Wenyan Cong, Zhizhou Sha et al. · arXiv.org · 0 citations