SRC05 — Agent Laboratory — Scorecard¶
Source Information¶
| Field | Value |
|---|---|
| Title | Agent Laboratory: Using LLM Agents as Research Assistants |
| URL | https://arxiv.org/abs/2501.04227 |
| Authors | Samuel Schmidgall et al. |
| Publication | EMNLP 2025 Findings |
| Date | 2025-01 |
| Type | Peer-reviewed conference paper |
Summary Ratings¶
| Dimension | Rating |
|---|---|
| Reliability | High |
| Relevance | Medium |
| Overall | Medium-High |
Rationale¶
| Domain | Assessment |
|---|---|
| Authority | Peer-reviewed at EMNLP 2025; open-source code available |
| Methodology | Multi-agent framework with human-in-the-loop; experimental evaluation |
| Currency | 2025 |
| Objectivity | Academic research |
| Scope | Complete research pipeline (literature review, experimentation, writing) |
| Corroboration | Comparable to AI-Researcher (HKUDS); part of growing autonomous research agent literature |
Evidence Extracts¶
| Evidence ID | Summary |
|---|---|
| SRC05-E01 | Multi-phase research pipeline implemented in code, not as system prompt |