Effectiveness of autonomous agents’ inspection vs. fixed-search retrieval
Determine whether proactive inspection of prior attempts by autonomous CORAL agents (e.g., reading earlier candidates and evaluator feedback to guide subsequent edits) is more effective than the retrieval mechanisms used by fixed evolutionary search methods that construct working contexts via predetermined selection rules, and establish this comparison by isolating the causal impact on improvement rates and final scores.
References
However, whether this form of inspection is more effective than retrieval in earlier fixed evolutionary search methods is difficult to isolate, so we leave it to future work.
The evidence establishes a recursive research cycle within this BabyLM program: accumulated findings change later designs, model comparisons validate particular methods, and further experiments refine the understanding. It does not establish sustained improvement of general research ability across tasks. That broader question requires independent research goals and comparisons of how knowledge reuse affects experiment selection, research cost, and outcome quality.