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        "description": "Mean pooling excludes instruction tokens, though attention includes them. Backbone/data/contrastive components are inherited; instruction robustness is empirical and new tasks need not behave correctly without fine-tuning. Original330training tasks/70evaluation tasks are version-specific; no medical task outcome is added.",
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      "statement": "# INSTRUCTOR: task-conditioned embedding instruction fine-tuning\n\nPaired text with task/domain instructions, assembled the MEDI multitask instruction dataset and trained a shared encoder with contrastive objectives to alter embeddings according to use case.\n\n## Scientific scope\n\nMean pooling excludes instruction tokens, though attention includes them. Backbone/data/contrastive components are inherited; instruction robustness is empirical and new tasks need not behave correctly without fine-tuning. Original330training tasks/70evaluation tasks are version-specific; no medical task outcome is added.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nHongjin Su; Weijia Shi; Jungo Kasai; Yizhong Wang; Yushi Hu; Mari Ostendorf; Wen-tau Yih; Noah A. Smith; Luke Zettlemoyer; Tao Yu\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [One Embedder, Any Task: Instruction-Finetuned Text Embeddings](https://arxiv.org/abs/2212.09741v1)\n",
      "summary": "Paired text with task/domain instructions, assembled the MEDI multitask instruction dataset and trained a shared encoder with contrastive objectives to alter embeddings according to use case.",
      "title": "INSTRUCTOR: task-conditioned embedding instruction fine-tuning"
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    "title": "INSTRUCTOR: task-conditioned embedding instruction fine-tuning",
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