ENTITY
Zero-Expert Self-Distillation Adaptation (ZEDA)
Zero-Expert Self-Distillation Adaptation (ZEDA)
PulseAugur coverage of Zero-Expert Self-Distillation Adaptation (ZEDA) — every cluster mentioning Zero-Expert Self-Distillation Adaptation (ZEDA) across labs, papers, and developer communities, ranked by signal.
Total · 30d
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2 over 90d
Releases · 30d
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0 over 90d
Papers · 30d
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2 over 90d
TIER MIX · 90D
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TIMELINE
- 2026-05-18 research_milestone A new framework, ZEDA, was introduced to make Mixture-of-Experts models more efficient by enabling them to skip over half of their experts during inference. source
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New method allows MoE models to skip over half of experts
Researchers have developed a new framework called Zero-Expert Self-Distillation Adaptation (ZEDA) to make Mixture-of-Experts (MoE) language models more efficient. ZEDA allows post-trained static MoE models to dynamicall…
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New method allows MoE models to skip over half of experts
Researchers have developed a new framework called Zero-Expert Self-Distillation Adaptation (ZEDA) to make existing Mixture-of-Experts (MoE) language models more efficient. ZEDA allows post-trained static MoE models to d…