Author

Xuan Jiang

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#machine learning Jun 2026

Less is MoE: Trimming Experts in Domain-Specialist Language Models

Fisher-MoE is proposed, which operates within FFN to remove intermediate dimensions ranked by Fisher importance, and suggests intermediate dimension granularity is an effective unit for both compression and ranking where capability concentrates in MoE models.

Haoze He, Xinkai Zou, Xuan Jiang et al. · arXiv.org · 2 citations

Jul 2026

Verifiable Self-Evolution for Open-Ended Dialogue Skills via Future-Feedback Prediction

Textual skills provide a lightweight way to improve frozen language-model agents, but their self-evolution normally requires a stable validation signal. Such signals are natural in mathematics or code, where an answer can be checked after it changes, yet are problematic in open-ended dialogue: changing the assistant re...

ChaoJin Zhao, Xuan Jiang · arXiv.org · 0 citations