Published comparison transcribed from the pinned source; not reproduced.
1 evaluation · 3 results. Different protocols are not a single leaderboard.
Protocol: BioML-bench drug discovery domain: agent leaderboard percentile over 9 tasks · Dataset subset: BioML-bench v0.1-alpha drug discovery tasks (9 tasks)
Sorted by Leaderboard percentile (mean over tasks in the domain; non-penalized: runs without a valid submission omitted) (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.
| Tested configuration | Leaderboard percentile (mean over tasks in the domain; non-penalized: runs without a valid submission omitted) | Proportion (share of tasks where the agent reaches a public leaderboard medal threshold, MLE-bench definition (Section 3.4); non-penalized: runs without a valid submission omitted) | Proportion (share of tasks where the agent's mean score exceeds the median human leaderboard submission (Section 3.4 definition); non-penalized: runs without a valid submission omitted) |
|---|---|---|---|
| MLAgentBench, GPT-4.1 backend (BioML-bench)Evaluation | 22.45 ± 5.93% | 5.6 ± 3.7% | 16.7 ± 9.3% |
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: MLAgentBench, GPT-4.1 backend (BioML-bench) | Protocol: BioML-bench drug discovery domain: agent leaderboard percentile over 9 tasks Dataset subset: BioML-bench v0.1-alpha drug discovery tasks (9 tasks) | 16.7 ± 9.3% Proportion (share of tasks where the agent's mean score exceeds the median human leaderboard submission (Section 3.4 definition); non-penalized: runs without a valid submission omitted) percent · higher Uncertainty: ± 9.3 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceMLAgentBench on BioML-bench drug discovery (non-penalized) lit-agents-20261013-biomlbench-protocol-drug-discovery Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Non-penalized', domain 'Drug Discovery', row 'MLAgentBench', column 'Above Median (%)' |
| Configuration: MLAgentBench, GPT-4.1 backend (BioML-bench) | Protocol: BioML-bench drug discovery domain: agent leaderboard percentile over 9 tasks Dataset subset: BioML-bench v0.1-alpha drug discovery tasks (9 tasks) | 5.6 ± 3.7% Proportion (share of tasks where the agent reaches a public leaderboard medal threshold, MLE-bench definition (Section 3.4); non-penalized: runs without a valid submission omitted) percent · higher Uncertainty: ± 3.7 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceMLAgentBench on BioML-bench drug discovery (non-penalized) lit-agents-20261013-biomlbench-protocol-drug-discovery Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Non-penalized', domain 'Drug Discovery', row 'MLAgentBench', column 'Any Medal (%)' |
| Configuration: MLAgentBench, GPT-4.1 backend (BioML-bench) | Protocol: BioML-bench drug discovery domain: agent leaderboard percentile over 9 tasks Dataset subset: BioML-bench v0.1-alpha drug discovery tasks (9 tasks) | 22.45 ± 5.93% Leaderboard percentile (mean over tasks in the domain; non-penalized: runs without a valid submission omitted) percent · higher Uncertainty: ± 5.93 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceMLAgentBench on BioML-bench drug discovery (non-penalized) lit-agents-20261013-biomlbench-protocol-drug-discovery Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Non-penalized', domain 'Drug Discovery', row 'MLAgentBench', column 'Leaderboard Percentile' |
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BioML-bench drug discovery domain: agent leaderboard percentile over 9 tasks
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20 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Comparison: adaptation Autonomous agent builds and trains its own ML pipeline; LLM backend: GPT-4.1 Context-only references | BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML Table 4, block 'Non-penalized', domain 'Drug Discovery', row 'MLAgentBench' Version: bioRxiv 2025.09.01.673319 version 3, posted 2025-09-28 (versions 1 and 2 posted 2025-09-04 and 2025-09-07) | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of the PDF bytes as downloaded 2026-10-13T12:38:42Z. bioRxiv rewrites the XMP dates and document IDs, the Info ModDate and the trailer /ID on download, so a re-download does not reproduce the hash; the review found a fresh copy differing only in those 43 bytes, with an identical text layer. |
| Comparison: aggregation Mean over tasks in the domain; non-penalized: runs without a valid submission omitted Context-only references | BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML Table 4, block 'Non-penalized', domain 'Drug Discovery', row 'MLAgentBench' Version: bioRxiv 2025.09.01.673319 version 3, posted 2025-09-28 (versions 1 and 2 posted 2025-09-04 and 2025-09-07) | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of the PDF bytes as downloaded 2026-10-13T12:38:42Z. bioRxiv rewrites the XMP dates and document IDs, the Info ModDate and the trailer /ID on download, so a re-download does not reproduce the hash; the review found a fresh copy differing only in those 43 bytes, with an identical text layer. |
| Comparison: budget CPU-only, 16 vCPUs, 64 GB RAM, 8-hour wall-clock limit per run Context-only references | BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML Table 4, block 'Non-penalized', domain 'Drug Discovery', row 'MLAgentBench' Version: bioRxiv 2025.09.01.673319 version 3, posted 2025-09-28 (versions 1 and 2 posted 2025-09-04 and 2025-09-07) | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of the PDF bytes as downloaded 2026-10-13T12:38:42Z. bioRxiv rewrites the XMP dates and document IDs, the Info ModDate and the trailer /ID on download, so a re-download does not reproduce the hash; the review found a fresh copy differing only in those 43 bytes, with an identical text layer. |
| Comparison: dataset version BioML-bench v0.1-alpha task set (Table 3) Context-only references | BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML Table 4, block 'Non-penalized', domain 'Drug Discovery', row 'MLAgentBench' Version: bioRxiv 2025.09.01.673319 version 3, posted 2025-09-28 (versions 1 and 2 posted 2025-09-04 and 2025-09-07) | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of the PDF bytes as downloaded 2026-10-13T12:38:42Z. bioRxiv rewrites the XMP dates and document IDs, the Info ModDate and the trailer /ID on download, so a re-download does not reproduce the hash; the review found a fresh copy differing only in those 43 bytes, with an identical text layer. |
| Comparison: inputs Task description, training data, test features and sample submission Context-only references | BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML Table 4, block 'Non-penalized', domain 'Drug Discovery', row 'MLAgentBench' Version: bioRxiv 2025.09.01.673319 version 3, posted 2025-09-28 (versions 1 and 2 posted 2025-09-04 and 2025-09-07) | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of the PDF bytes as downloaded 2026-10-13T12:38:42Z. bioRxiv rewrites the XMP dates and document IDs, the Info ModDate and the trailer /ID on download, so a re-download does not reproduce the hash; the review found a fresh copy differing only in those 43 bytes, with an identical text layer. |
| Comparison: metric implementation Task's original metric mapped to the task's public leaderboard percentile Context-only references | BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML Table 4, block 'Non-penalized', domain 'Drug Discovery', row 'MLAgentBench' Version: bioRxiv 2025.09.01.673319 version 3, posted 2025-09-28 (versions 1 and 2 posted 2025-09-04 and 2025-09-07) | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of the PDF bytes as downloaded 2026-10-13T12:38:42Z. bioRxiv rewrites the XMP dates and document IDs, the Info ModDate and the trailer /ID on download, so a re-download does not reproduce the hash; the review found a fresh copy differing only in those 43 bytes, with an identical text layer. |
| Comparison: population 9 drug discovery tasks, four replicate runs per task Context-only references | BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML Table 4, block 'Non-penalized', domain 'Drug Discovery', row 'MLAgentBench' Version: bioRxiv 2025.09.01.673319 version 3, posted 2025-09-28 (versions 1 and 2 posted 2025-09-04 and 2025-09-07) | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of the PDF bytes as downloaded 2026-10-13T12:38:42Z. bioRxiv rewrites the XMP dates and document IDs, the Info ModDate and the trailer /ID on download, so a re-download does not reproduce the hash; the review found a fresh copy differing only in those 43 bytes, with an identical text layer. |
| Comparison: protocol id lit-agents-20261013-biomlbench-protocol-drug-discovery Context-only references | BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML Table 4, block 'Non-penalized', domain 'Drug Discovery', row 'MLAgentBench' Version: bioRxiv 2025.09.01.673319 version 3, posted 2025-09-28 (versions 1 and 2 posted 2025-09-04 and 2025-09-07) | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of the PDF bytes as downloaded 2026-10-13T12:38:42Z. bioRxiv rewrites the XMP dates and document IDs, the Info ModDate and the trailer /ID on download, so a re-download does not reproduce the hash; the review found a fresh copy differing only in those 43 bytes, with an identical text layer. |
| Comparison: split Each task's train and test split as downloaded from its Polaris Hub benchmark Context-only references | BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML Table 4, block 'Non-penalized', domain 'Drug Discovery', row 'MLAgentBench' Version: bioRxiv 2025.09.01.673319 version 3, posted 2025-09-28 (versions 1 and 2 posted 2025-09-04 and 2025-09-07) | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of the PDF bytes as downloaded 2026-10-13T12:38:42Z. bioRxiv rewrites the XMP dates and document IDs, the Info ModDate and the trailer /ID on download, so a re-download does not reproduce the hash; the review found a fresh copy differing only in those 43 bytes, with an identical text layer. |
Limitations1 values
| BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML Table 4, block 'Non-penalized', domain 'Drug Discovery', row 'MLAgentBench' Version: bioRxiv 2025.09.01.673319 version 3, posted 2025-09-28 (versions 1 and 2 posted 2025-09-04 and 2025-09-07) | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of the PDF bytes as downloaded 2026-10-13T12:38:42Z. bioRxiv rewrites the XMP dates and document IDs, the Info ModDate and the trailer /ID on download, so a re-download does not reproduce the hash; the review found a fresh copy differing only in those 43 bytes, with an identical text layer. |
Release 2026-11-02-a7f03c9e55a5 · Record review: source checked
Stable ID: lit-agents-20261013-biomlbench-eval-drug-discovery-non-penalized-mlagentbench