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Small coding agents gain more from code graphs than larger models

2 sources · 2 articlesFirst reported Updated ()1 · 1 read
What's new

First merged summary.

Merged summary · x-ai/grok-4.7 · rewritten as coverage arrivesSummaries by Vani AI

On SWE-bench Verified, structured tools add 17–21 points for 1.7–4B agents but only 4–5 at 32B.

An arXiv study ablates grep, embedding search, and code-graph tools for small open-weight coding agents on SWE-bench Verified, stratified by hop depth. Structured tools doubled grep-only accuracy for Qwen3-8B and Gemma 4 E4B, adding 17–21 points at 1.7–4B parameters versus 4–5 points at 32B. Ten models and 79,000 episodes were evaluated, including six Qwen3 sizes and three Gemma 4 sizes. Agents mostly used name lookup and a single expansion; each extra hop cut correct-localization odds at every size. The authors release the agent, probes, logs, and traces.

Key facts
  • Structured tools added 17–21 points at 1.7–4B and 4–5 points at 32B.
  • Tools doubled grep-only accuracy for Qwen3-8B and Gemma 4 E4B.
  • Ten models and 79,000 episodes covered six Qwen3 and three Gemma 4 sizes.
  • Each extra hop multiplied correct-localization odds by 0.50–0.67.
  • Agents chained graph expansions in only 12–14% of episodes.
  • A fixed repair model resolved 6–13 of 160 tasks; the oracle resolved 26.
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What each outlet adds

beyond the shared facts
  • arXiv cs.AI / cs.LG / cs.CLHop-depth ablation, localization odds, and release of agent, probes, logs, and traces.

Coverage

oldest first · one row per article · UTC
  1. · 6d ago Hugging Face daily papersFirst report

    Independent review lifts coding-agent accuracy at modest extra cost

    A critic review gains 5.9–9.5 points on Terminal-Bench and 3.9–6.6 on SWE-bench Verified at about baseline cost.

  2. · 5d ago arXiv cs.AI / cs.LG / cs.CL

    Small coding agents gain little from code graphs past one hop

    On SWE-bench Verified, structured tools added 17–21 points at 1.7–4B but only 4–5 points at 32B.