Salesforce: Co-Evolving Harnesses and On-Policy Correction Help Weak Models Catch Up
Saleforce · hf · 2026-09-10
Salesforce research 'Co-Evolving Harnesses and Models' combines harness evolution with localized expert on-policy correction.
The approach helps weaker models improve in settings where imitation fails, without disrupting their native planning style — offering a new lever for boosting small-model performance on agentic tasks.
More from coding & agent
- mcp-oracle-h adds a mandatory human approval gate for irreversible agent actions via Telegram — modelcontextprotocol · 2026-09-10
- Codex already lets you group pinned sessions by dragging them into projects — vwxyzjn · 2026-09-10
- Use /goal to steer the astra coding agent back on track — TheMoonMidas · 2026-09-10
- How a Buffer Overflow Overwrites the Return Address in C and x86-64 — tetsuoai · 2026-09-10
- Full pipeline: niji + GPT Image + local MiniMax H3 + Codex for pixel-perfect animation — Hailuo_AI · 2026-09-10
- Traser: a local deterministic tool to triage agent runs that succeed but return wrong results — Sensitive-Parsnip-12 · 2026-09-10