Continual harness evolution causes forgetting in coding agents
Meta-Harness drops 66% on SWE-Bench after evolution on FeatureBench with DeepSeek-V4-Flash-0731.
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Meta-Harness drops 66% on SWE-Bench after evolution on FeatureBench with DeepSeek-V4-Flash-0731.
From Qwen3-VL-8B-Instruct, the paper reports PhysBench Throwing up 8.8 and ContPhy Goal-Pit up 24.4 points.
Provenance marks in leaked agent harnesses mostly fail when a self-evolving LLM rewrites the marked code.
Paper formalizes persistent self-evolution of agent harnesses with fixed weights and validation bounds.
Across 103 task-skill pairs, skills that raise GPT-5.6-luna by 31.1 points lower Gemma-4-E4B by 8.8.
PrisMem evolves agent memory by capability and beats baselines on long-history benchmarks.
Of 21 self-evolving skills that improve in training, only five fully transfer their gains to held-out tasks.
FailBank converts runtime safety feedback into persistent policy gains for vision-language-action robot models.
CrossFit cuts co-cheating in self-evolving search agents and beats coupled self-evolution on seven benchmarks.
VQS generates program-verified vision questions, labeling 94% correctly and lifting Qwen3-VL by up to 3.84 points.
TimeEvo builds a time-series agent tool library from diagnosed failures and raises accuracy on ten QA tasks.
Researchers introduce Procedural Graphs, self-evolving (procedure, relation, procedure) structures guiding LLM agent tool use and planning.
Researchers introduce StudyBench, a physics benchmark showing self-evolution gains on textbook problems rarely transfer to olympiad-level questions.
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