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arXiv Computation and Language By Victor Gao (Sang Won), Vida Khosrowshahi (Sang Won), Ali Khosrowshahi (Sang Won), Xihao Sun (Sang Won), Juhyun Lee (Sang Won), Simon (Sang Won), Lee

GVS5H: Zero-Shot Self-Orchestration with Ledger-Based Control for Improved LLM Coding Performance

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The paper introduces GVS5H, a ledger‑based zero‑shot self‑orchestration technique that allows fresh instances of a single model to decompose coding problems and coordinate via a shared file system. On the 100 most recent hard LiveCodeBench tasks, the method improves performance by up to 25.6 points across eleven open and closed‑weight models, enabling cheaper models to reach frontier‑level accuracy. While the gains are not universal—some models see no improvement or a decline—analysis suggests that decomposition and persistent context are key contributors to the observed performance boost.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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