BDA-Rand, llama-3-1-8b backbone (Gupta et al. 2025)

Overview

Configuration as run in the cited comparison.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

5 evaluations · 5 results. Different protocols are not a single leaderboard.

Filter evaluations

Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: BDA-Rand, llama-3-1-8b backbone (Gupta et al. 2025)	Protocol: Independent replication of 1-gene perturbation design: cumulative hits after 5 rounds of 128 genes Dataset: Carnevale et al. 2022 screen, T-cell resistance to tumour-microenvironment inhibitory signals	31.6 true-positive-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BDA-Rand (Llama-3.1-8B backbone) on Carnevale (Gupta et al. 2025) tgtval-20261009-protocol-gupta2025-cumulative-hits-round5 Aggregation: Not reported LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? · Table 1, 'Llama-3.1-8B backbone' block, row 'BDA-Rand', column 'Carnevale'
Configuration: BDA-Rand, llama-3-1-8b backbone (Gupta et al. 2025)	Protocol: Independent replication of 1-gene perturbation design: cumulative hits after 5 rounds of 128 genes Dataset: Sanchez et al. 2021 screen, decreased endogenous tau protein level in neurons	45 true-positive-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BDA-Rand (Llama-3.1-8B backbone) on Sanchez Down (Gupta et al. 2025) tgtval-20261009-protocol-gupta2025-cumulative-hits-round5 Aggregation: Not reported LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? · Table 1, 'Llama-3.1-8B backbone' block, row 'BDA-Rand', column 'Sanchez Down'
Configuration: BDA-Rand, llama-3-1-8b backbone (Gupta et al. 2025)	Protocol: Independent replication of 1-gene perturbation design: cumulative hits after 5 rounds of 128 genes Dataset: Sanchez et al. 2021 screen, endogenous tau protein level in neurons	30.8 true-positive-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BDA-Rand (Llama-3.1-8B backbone) on Sanchez (Gupta et al. 2025) tgtval-20261009-protocol-gupta2025-cumulative-hits-round5 Aggregation: Not reported LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? · Table 1, 'Llama-3.1-8B backbone' block, row 'BDA-Rand', column 'Sanchez'
Configuration: BDA-Rand, llama-3-1-8b backbone (Gupta et al. 2025)	Protocol: Independent replication of 1-gene perturbation design: cumulative hits after 5 rounds of 128 genes Dataset: Schmidt et al. 2022 screen, interferon-gamma production in primary human T cells	51 true-positive-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BDA-Rand (Llama-3.1-8B backbone) on IFNG (Gupta et al. 2025) tgtval-20261009-protocol-gupta2025-cumulative-hits-round5 Aggregation: Not reported LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? · Table 1, 'Llama-3.1-8B backbone' block, row 'BDA-Rand', column 'IFNG'
Configuration: BDA-Rand, llama-3-1-8b backbone (Gupta et al. 2025)	Protocol: Independent replication of 1-gene perturbation design: cumulative hits after 5 rounds of 128 genes Dataset: Schmidt et al. 2022 screen, interleukin-2 production in primary human T cells	37 true-positive-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BDA-Rand (Llama-3.1-8B backbone) on IL2 (Gupta et al. 2025) tgtval-20261009-protocol-gupta2025-cumulative-hits-round5 Aggregation: Not reported LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? · Table 1, 'Llama-3.1-8B backbone' block, row 'BDA-Rand', column 'IL2'

Source checking is not independent reproduction. Release 2026-10-10-7fcc3e48a123.

Use this model

How it works, versions and access

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

0 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-10-7fcc3e48a123
Property and statement	Original source and location	Review and provenance

No evidence rows match these filters. Choose another scope or clear the search.

All evidence (JSONL) (gzip)How to read the evidence

Sources and history

Release 2026-10-10-7fcc3e48a123 · Record review: source checked

1 source records and release history

LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? · Original source · Findings of the Association for Computational Linguistics: EMNLP 2025, pages 15482-15510

Download this release (gzip)

Technical metadata and extraction receipts

Stable ID: tgtval-20261009-config-gupta2025-bda-rand-llama-3-1-8b

areas: cells-tissues
contexts: research
method types: foundation_model
reported name: BDA-Rand
foundation model eligible: true
source locator: Table 1, 'Llama-3.1-8B backbone' block
missing metadata: version: reason: unreported; note: No release or commit is printed for this configuration
parameters: No-Tool variant of BioDiscoveryAgent; experimental feedback replaced by randomly permuted outcomes
limitations: Receives randomly permuted outcomes instead of true feedback; a control, not a method anyone would deploy.

Related records

configuration of: BioDiscoveryAgent
uses model: Llama-3.1-8B
system: BDA-Rand (Llama-3.1-8B backbone) on Carnevale (Gupta et al. 2025)
system: BDA-Rand (Llama-3.1-8B backbone) on Sanchez (Gupta et al. 2025)
system: BDA-Rand (Llama-3.1-8B backbone) on Sanchez Down (Gupta et al. 2025)
system: BDA-Rand (Llama-3.1-8B backbone) on IFNG (Gupta et al. 2025)
system: BDA-Rand (Llama-3.1-8B backbone) on IL2 (Gupta et al. 2025)