SRC05-E01 — Multi-Phase Research Pipeline in Code¶
Description¶
Agent Laboratory implements a complete research pipeline through specialized agent roles, but as a code-based system rather than a system prompt.
URL¶
https://arxiv.org/abs/2501.04227
Extract¶
The framework includes specialized roles: PhD student (literature review, result interpretation), postdoc researcher (experimental plan formulation), ML engineer (data preparation, code implementation), and professor (writing synthesis). Three stages: literature review, experimentation, and report writing. Achieves 84% cost reduction vs. prior methods. Human involvement at each stage significantly improves quality. Uses mle-solver for iterative code refinement and paper-solver for structured document generation.
Relevance to Hypotheses¶
| Hypothesis | Relevance | Strength |
|---|---|---|
| H1 — Complete prompts exist | Contradicts (implemented in code, not as prompt) | Moderate |
| H2 — No such prompts exist | N/A | |
| H3 — Partial implementations exist | Supports (comprehensive but code-based) | Strong |
Context¶
FACT: Published at EMNLP 2025 with open-source code. FACT: Does not implement named analytical rigor frameworks. JUDGMENT: Represents the frontier of autonomous research systems but takes a different approach — pipeline orchestration rather than analytical rigor framework implementation.