HKUST's Hierarchical Self-Improvement: Evolving Agent Harnesses on Frozen LLMs
HKUST · hf · 2026-08-21
HKUST released a paper, Hierarchical Self-Improvement, on Hugging Face. It proposes evolving task-specific execution harnesses for frozen LLM agents via hierarchical self-modification.
Key findings:
- Substantial gains on moderate tasks
- Improvement is bounded by feedback quality and backbone model limits
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