Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.09251.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

MoRSE is a multi-agent LLM system that decomposes tasks into dependency-aware DAGs of subtasks, assigns each agent a (role, subtask) pair, and equips a shared LLM with a mixture of LoRA experts routed by subtask semantics. Hierarchical group-relative policy optimization isolates expert and router updates. Evaluated on code-generation across three backbones, showing gains that generalize to held-out categories.

Concrete architectural recipe for multi-agent specialization, not just another prompt-engineering scheme. The DAG decomposition plus LoRA-expert routing is a reusable pattern for builders scaling beyond monolithic agents.

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