GVS5H

Headlines · 2

1. 6h
   Memdoor reconstructs a multi-agent coding workflow

   A Memdoor reconstruction of the GVS5H method assigns programming tasks to five fresh-context Qwen3.8-27B roles plus a repair worker, with agents communicating through files and shell scripts deciding test success. Across five passes on the first ten LiveCodeBench Hard problems, the workflow averaged 9.8 out of 10, versus 9.6 for the authors' harness and 8.0 for single-call Fable 5 results. The report says all 50 runs, grader outputs, costs and serving hosts were published.

   Hacker News 首页（100+ 分） · 🔥 15
2. Oct 25
   Paper reports coding gains from ledger-based self-orchestration

   A paper introduces ledger-based zero-shot self-orchestration, a training-free method in which fresh instances of the same model decompose problems and coordinate through a shared filesystem containing a plan, notes, and the current solution. The authors evaluated 11 open- and closed-weight models on the 100 latest hard LiveCodeBench problems and reported gains of up to 25.6 percentage points on pinned backends. They report that orchestrated Qwen3.8 Flash Next reached 93.0% pass@1 versus Fable 5's 90.4% at 9% of the cost, while locally served Qwen3.8-27B rose from 66.8% to 92.4%. The gains were not universal: some models were unchanged or performed worse.

   Hacker News 首页（100+ 分） · 🔥 0

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