A Two-Tier Perspective on Inference-Time Parallelism in Multi-Agent LLM Systems
3.60T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.05791.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryThe paper introduces TIPEX, a framework that unifies two levels of inference-time parallelism in multi-agent LLM systems: Replica Parallelism (multiple solution paths) and Structural Parallelism (concurrent execution within a single path). Experiments on GAIA show coordinated parallelism improves accuracy and reduces latency, with intermediate-difficulty tasks benefiting most.
Why it mattersProvides a systematic framework and empirical guidance on when parallel execution strategies help multi-agent LLM systems, with concrete findings on complementary effects of different parallelism types.
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