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#artificial intelligence Preprint Oct 2026

Decoupled Multi-Agent Orchestration

Learned orchestration can automatically construct effective language-model multi-agent systems, but existing approaches couple planning to fixed worker pools and train decomposition and collaboration from the same terminal outcome, limiting transfer and obscuring credit assignment. We introduce DeOrch, which separates...

Xin-Le Wu, Yao Lu · 0 citations
#artificial intelligence Preprint Jun 2026

A Language Model from 1913: Pretraining on Historical Text

This work constructs TypewriterCorpus, a 54B-token historical corpus with extensive temporal filtering, proposes lexically grounded instruction tuning that constrains all responses to vocabulary from historical source documents, and introduces History-Event, a benchmark of 2,344 events for evaluating both competence an...

Xiaoxi Luo, Zachary Shinnick, Niclas Griesshaber et al. · 4 citations

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