Browse State-of-the-Art › Recipe Generation
Recipe Generation
15 papers with code · 5 benchmarks · 3 datasets archive 2025-07-28
Food recipe generation from ingredients, title and/or food images.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
5 leaderboard tables shown for this task, 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
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| allrecipes.com (2 rows) | Latent Variable Model | Reference-Aware Language Models | — | — | Compare |
| Food.com (2 rows) | LLaVA-Chef | LLaVA-Chef: A Multi-modal Generative Model for Food Recipes | code | — | Compare |
| Now You're Cooking! (2 rows) | LLaVA-Chef | LLaVA-Chef: A Multi-modal Generative Model for Food Recipes | code | — | Compare |
| Recipe1M (1 row) | Set Transformer | Inverse Cooking: Recipe Generation from Food Images | code | — | Compare |
| RecipeNLG (1 row) | GPT2-small | RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
3 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
15 shown of 15 papers with code (40 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.
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14 Dec 2018 4 repositories listedOur system predicts ingredients as sets by means of a novel architecture, modeling their dependencies without imposing any order, and then generates cooking instructions by attending to both image and its inferred…
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17 Apr 2023 2 repositories listedWe generate instructions via LLMs for human-written corpus examples using reverse instructions.
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13 May 2018 2 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedText in many domains involves a significant amount of named entities.
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20 May 2025 1 repository listedWe introduce KERL, a unified system that leverages food KGs and LLMs to provide personalized food recommendations and generates recipes with associated micro-nutritional information.
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21 Sep 2024 1 repository listedInstruction tuning commonly means finetuning a language model on instruction-response pairs.
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18 Sep 2024 1 repository listedSignificant work has been conducted in the domain of food computing, yet these studies typically focus on single tasks such as t2t (instruction generation from food titles and ingredients), i2t (recipe generation from…
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29 Aug 2024 1 repository listedThis work evaluates existing LLMs for recipe generation and proposes LLaVA-Chef, a novel model trained on a curated dataset of diverse recipe prompts in a multi-stage approach.
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28 Aug 2023 1 repository listed Syntology ran 12 of 16 samples · 4 unverified · 16 pointer-only (licence)Food computing has emerged as a prominent multidisciplinary field of research in recent years.
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15 Feb 2023 1 repository listedRecipe personalization through ingredient substitution has the potential to help people meet their dietary needs and preferences, avoid potential allergens, and ease culinary exploration in everyone's kitchen.
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20 Oct 2022 1 repository listedAlthough pretrained language models can generate fluent recipe texts, they fail to truly learn and use the culinary knowledge in a compositional way.
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17 May 2021 1 repository listedThe large population of home cooks with dietary restrictions is under-served by existing cooking resources and recipe generation models.
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15 Dec 2020 1 repository listedWe use the dataset to approach the problem of generating recipes.
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2 Sep 2020 1 repository listedWe investigate an open research task of generating cooking instructions based on only food images and ingredients, which is similar to the image captioning task.
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5 Mar 2020 1 repository listedInterests in the automatic generation of cooking recipes have been growing steadily over the past few years thanks to a large amount of online cooking recipes.
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31 Aug 2019 1 repository listedExisting approaches to recipe generation are unable to create recipes for users with culinary preferences but incomplete knowledge of ingredients in specific dishes.
Syntology lines on 2 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.
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