ReciFine: Finely Annotated Recipe Dataset for Controllable Recipe Generation (2026.findings-eacl)
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| Challenge: | Existing resources, such as RecipeNLG, extract food items only from ingredient lists, overlooking entities expressed in instructions, such tools, chef actions, food and tool states, and durations. |
| Approach: | They extend RecipeNLG to extract 97 million entities from 2.2 million recipes. |
| Outcome: | The proposed model outperforms existing models trained on ingredient-list data on both automatic and human evaluations. |
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| Challenge: | Existing methods for generating recipes that satisfy dietary restrictions are inconsistent or incoherent and paired datasets are not available at scale. |
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Ayush Agarwal, Janak Kapuriya, Shubham Agrawal, Akhil Vamshi Konam, Mansi Goel, Rishabh Gupta, Shrey Rastogi, Niharika Niharika, Ganesh Bagler
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| Challenge: | Named entities pose a unique challenge to traditional methods of language modeling. |
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| Challenge: | Annotated corpus of English cooking recipe procedures with domain-specific linguistic and semantic structure. |
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SHARE: a System for Hierarchical Assistive Recipe Editing (2022.emnlp-main)
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| Challenge: | Existing recipe websites do not provide options for users with dietary restrictions . a growing population follows some form of dietary restriction, with many people following it for a variety of reasons . |
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Generating Personalized Recipes from Historical User Preferences (D19-1)
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| Challenge: | Existing methods to recipe generation are unable to create recipes for users with culinary preferences but incomplete knowledge of ingredients in specific dishes. |
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Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes (2020.aacl-main)
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| Challenge: | Existing approaches to understanding recipe instructions make assumptions that are domain specific. |
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RubricBench: Aligning Model-Generated Rubrics with Human Standards (2026.acl-long)
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Junyi Zhou, Qiyuan Zhang, Yufei Wang, Fuyuan Lyu, Yidong Ming, Can Xu, Qingfeng Sun, Kai Zheng, Peng Kang, Xue Liu, Chen Ma
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Chop and Change: Anaphora Resolution in Instructional Cooking Videos (2022.findings-aacl)
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| Challenge: | temporally evolving entities present challenges for anaphora resolution tasks . recipes provide rich source for referring expressions of transformed entities . |
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