Papers with realistic and context-aware generation

1 papers
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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