Pre-Fine-Tuning Weight Recovery

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Most implemented papers archive 2025-07-28

1 shown of 1 paper with code (1 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Recovering the Pre-Fine-Tuning Weights of Generative Models
  15 Feb 2024 1 repository listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  The dominant paradigm in generative modeling consists of two steps: i) pre-training on a large-scale but unsafe dataset, ii) aligning the pre-trained model with human values via fine-tuning.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.