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.
On SWE-bench Verified, structured tools added 17–21 points at 1.7–4B but only 4–5 points at 32B.
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.
Parsimony ranks AI coding models by net syntax units added on SWE-bench Verified patches.
ANTE lifts Qwen3-32B to 57.2% pass@1 on SWE-bench Verified using verified action forecasts.
With Qwen3.5-4B and SWE-agent it reports 41.7% Resolved@1 versus 38.9% for GRPO.
PivotOPD trains multi-turn agents to avoid pivotal mistakes and recover within a few turns.
Empirical study of coding agent harnesses across 176 settings shows context management prevents overflow failures and bash-only interfaces cut costs for capable models.
Empirical study of 176 matched coding-agent harness configurations shows context management cuts overflow failures while planning and action-space choices trade accuracy against cost.
DualViewEval compresses agent benchmarks by jointly modeling outcome and process signals, achieving 24x-40x compression with only 20 tasks on APEX-Agents and BFCL.
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