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Mingbird: A Local-First Agent Harness Enabling Small Open Models to Complete Real Tasks

Paper recorded by Signals 4 on 2026-10-01 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-01 on arXiv · recorded by Signals 4 on 2026-10-02

Category: cs.CL · 自然语言处理 · first seen 2026-10-02

Abstract

Small open-weight models (2-9B) run on ordinary laptops, but under cloud-scale agent harnesses they rarely complete real tasks: tool prefill overflows the context, self-correction diverges, tool demonstrations loop, and tasks are silently abandoned. We present evidence, from a controlled single-machine comparison and one third-party benchmark, that a substantial share of these failures is attribut

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#11 most recent of 311 cs.CL papers we have recorded · ↑ newer: Mem++: Non-Destructive Memory for Long-Term Organizational LLM Agents · ↓ older: Universal Byte-Level Encoding: UTF-8/UTF-16 Routing to Reduce Cross-Sc
Cite this page: Mingbird: A Local-First Agent Harness Enabling Small Open Models to Complete Real Tasks: the #11 most recent of 311 cs.CL papers we have recorded (as of 2026-10-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mingbird-a-local-first-agent-harness-enabling-small-open-models-to-complete-real.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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