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SquidAgent: Parallelize Wisely, Coordinate Efficiently

Paper recorded by Signals 4 on 2026-10-06 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-06 on arXiv · recorded by Signals 4 on 2026-10-07

Category: cs.CL · 自然语言处理 · first seen 2026-10-07

Abstract

LLM-based agents solve complex multi-step tasks, but sequential execution incurs substantial latency. In principle, parallelizing work across multiple agents should yield near-linear speedups. Yet existing parallel multi-agent systems often run slower than a single-agent baseline. We attribute this gap to two hidden costs that parallel execution incurs but a serial agent avoids. First, there is a

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#314 most recent of 660 cs.CL papers we have recorded · ↑ newer: Evidence-Bound Reasoning: Neuro-Semantic Verification of Biomedical AI · ↓ older: Towards In-Parameter Memory Augmentation for Large Language Models
Cite this page: SquidAgent: Parallelize Wisely, Coordinate Efficiently: the #314 most recent of 660 cs.CL papers we have recorded (as of 2026-10-06). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/squidagent-parallelize-wisely-coordinate-efficiently.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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