Study finds persistent memory gives modest gains for LLM agents drawing Chinese characters
Researchers tested five agent designs on 668 Chinese-character drawing tasks to see whether persistent memory from earlier attempts helps with new problems. Agents that kept free-form notes improved first-attempt success by 4.6 percentage points, while those combining notes with a reusable code bank improved by 2.8 points. The two memory designs did not differ significantly overall, though the…
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Key points
- Free-form memory boosted first-attempt success by 4.6 points on 668 drawing tasks
- Code-bank memory improved success by 2.8 points; not significantly different from free-form
- Privileged structural supervision yielded much larger gains in post-hoc comparison
Read the original at arXiv cs.AI · by Peilin Wu, Yi-Zhuang You primary sourceOpen source ↗
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