Methods › General › Prompt Engineering › CoOp › Papers where code ran, page 1
Context Optimization
CoOp
Papers archive 2025-07-28
archive papers tagged: 30 · with a code link: 18 · where Syntology ran a sample: 9 (9 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 (9 of 30 tagged: 9 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 9 of the 9 tagged papers where Syntology ran at least one harvested sample (9 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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TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration 16 Oct 2024 · 1 repository · arXiv:2410.12183Syntology official (archive's flag): 6 ran · 6 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; 3 where Syntology's instrument failed) · 2 unverified (of 8 harvested samples) · 2 pointer-only (licence)
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Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models 3 Oct 2024 · 1 repository · arXiv:2410.02681Syntology 4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 5 unverified (of 9 harvested samples) · 6 pointer-only (licence)
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Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning 31 Mar 2024 · 1 repository · arXiv:2404.00603Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified (of 6 harvested samples) · 3 pointer-only (licence)
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Language Models as Black-Box Optimizers for Vision-Language Models 12 Sep 2023 · 1 repository · arXiv:2309.05950Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 11 harvested samples) · 11 pointer-only (licence)
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LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning 2 Jun 2023 · 2 repositories · arXiv:2306.01293Syntology official (archive's flag): 9 ran · 9 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 4 where Syntology's instrument failed) · 3 unverified (of 12 harvested samples) · 7 pointer-only (licence)
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Learning to Compose Soft Prompts for Compositional Zero-Shot Learning 7 Apr 2022 · 1 repository · arXiv:2204.03574Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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Conditional Prompt Learning for Vision-Language Models 10 Mar 2022 · 12 repositories · arXiv:2203.05557Syntology community repositories only · 4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified (of 6 harvested samples) · 3 pointer-only (licence)
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Learning to Prompt for Vision-Language Models 2 Sep 2021 · 18 repositories · arXiv:2109.01134Syntology community repositories only · 3 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 9 unverified (of 12 harvested samples)