Methods › General › Stochastic Optimization › FA › Papers where code ran, page 1
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FA
Papers archive 2025-07-28
archive papers tagged: 124 · with a code link: 37 · where Syntology ran a sample: 6 (6 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (6 of 124 tagged: 6 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument)
Syntology We ran code from the paper's repository; we did not isolate this method inside it.
Page 1 of 1: papers 1 to 6 of the 6 tagged papers where Syntology ran at least one harvested sample (6 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection 6 Jul 2025 · 1 repository · arXiv:2507.04511Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified (of 9 harvested samples) · 9 pointer-only (licence)
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Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer 13 Jun 2024 · 1 repository · arXiv:2406.09586Syntology official (archive's flag): 9 ran · 9 ran (of which 6 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified (of 13 harvested samples) · 13 pointer-only (licence)
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Less Peaky and More Accurate CTC Forced Alignment by Label Priors 22 Apr 2024 · 1 repository · arXiv:2406.02560Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 7 unverified (of 10 harvested samples)
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Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models 19 Mar 2024 · 1 repository · arXiv:2403.12809Syntology official: no sample here; runs from other or unrecorded repositories · 4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 7 harvested samples)
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Incorporating Attribution Importance for Improving Faithfulness Metrics 17 May 2023 · 1 repository · arXiv:2305.10496Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 2 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified (of 6 harvested samples)
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DEJA VU: Continual Model Generalization For Unseen Domains 25 Jan 2023 · 2 repositories · arXiv:2301.10418Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified (of 10 harvested samples) · 10 pointer-only (licence)