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TextGrad
Introduced by Mert Yuksekgonul et al. in TextGrad: Automatic "Differentiation" via Text
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
TextGrad is a powerful framework building automatic ``differentiation'' via text. TextGrad implements backpropagation through text feedback provided by LLMs, strongly building on the gradient metaphor
Papers archive 2025-07-28
5 shown of 5, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Gen-n-Val: Agentic Image Data Generation and Validation 5 Jun 2025 · 0 repositories · arXiv:2506.04676
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metaTextGrad: Automatically optimizing language model optimizers 24 May 2025 · 0 repositories · arXiv:2505.18524
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Can Textual Gradient Work in Federated Learning? 27 Feb 2025 · 1 repository · arXiv:2502.19980Syntology ran 6 of 12 samples · 6 unverified · 12 pointer-only (licence)
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How to Correctly do Semantic Backpropagation on Language-based Agentic Systems 4 Dec 2024 · 1 repository · arXiv:2412.03624Syntology ran 0 of 8 samples · 8 unverified
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TextGrad: Automatic "Differentiation" via Text 11 Jun 2024 · 2 repositories · arXiv:2406.07496Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
Tasks archive 2025-07-28
17 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections