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Xuan-Phi Nguyen

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Preprint Sep 2026

Flattening Every Memory Peak in Long-Context Mixture-of-Experts Training

Four parallelism plans are left unbounded by the parallelism plans in common use, and each grows differently: expert dispatch with the routing matrix, the vocabulary projection with tokens times vocabulary, gradient checkpoint boundaries with depth times sequence length, and optimizer state with parameter count.

Shrey Pandit, Xuan-Phi Nguyen, Yiran Zhao et al. · 0 citations
#natural language process... Preprint Sep 2026

EvoHarnessBench: Can Your Agents Keep Pace with an Evolving Harness?

EvoHarnessBench is introduced, a benchmark for evaluating agents under controlled harness evolution across three axes (tools, skills, and agents), and establishes harness evolution as a distinct challenge for building agents that can keep pace with an evolving harness while preserving previously effective behavior.

Zi-Xuan Ke, Vaidehi Patil, Hai-Zhou Shi et al. · 1 citation
#machine learning Preprint Aug 2026

Learning Generalizable Behaviors for Terminal Agents

River, a simple training recipe that improves reward quality by filtering low-quality environments and augmenting outcome rewards with process-level behavior regularization is proposed, which achieves the best performance among evaluated open-source RL-trained 8B models across four terminal-agent benchmarks.

Yi-Fan Yao, Bo Pang, Xuan-Phi Nguyen et al. · 2 citations

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