{ "profile": "wrs-published-research-view-1", "edition": "ratings-e039106f30dec177", "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS", "entry": { "id": "jiao-et-al-tinybert-transformer-distillation-2019", "title": "TinyBERT: transformer-layer distillation at pretraining and task adaptation", "summary": "Distilled transformer representations and predictions in general-domain and task-specific learning stages to produce compact BERT students.", "boundary": "Inherits knowledge distillation and BERT. 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Original paper's measured GLUE/inference tradeoffs are task/hardware-specific and do not imply universal retention or first teacher-student learning.", "domain": "Model compression" }, "sources": [ { "citation": "TinyBERT: Distilling BERT for Natural Language Understanding", "url": "https://arxiv.org/abs/1909.10351v1" } ], "statement": "# TinyBERT: transformer-layer distillation at pretraining and task adaptation\n\nDistilled transformer representations and predictions in general-domain and task-specific learning stages to produce compact BERT students.\n\n## Scientific scope\n\nInherits knowledge distillation and BERT. Original paper's measured GLUE/inference tradeoffs are task/hardware-specific and do not imply universal retention or first teacher-student learning.\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\nXiaoqi Jiao; Yichun Yin; Lifeng Shang; Xin Jiang; Xiao Chen; Linlin Li; Fang Wang; Qun Liu\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- [TinyBERT: Distilling BERT for Natural Language Understanding](https://arxiv.org/abs/1909.10351v1)\n", "summary": "Distilled transformer representations and predictions in general-domain and task-specific learning stages to produce compact BERT students.", "title": "TinyBERT: transformer-layer distillation at pretraining and task adaptation" }, "record_id": "urn:uuid:4b1bf0b4-f4d1-4c45-a1c6-c22f9059edcf", "version": 1, "source_ref": { "record_id": "urn:uuid:4b1bf0b4-f4d1-4c45-a1c6-c22f9059edcf", "version": 1, "content_hash": "sha256:90a53cc5093263535bfbaa348cd8a297b14b8721c1e5afbaabf7be8d5d966386" }, "export_view": "wrs-public-editorial-view-1", "public_view_hash": "sha256:c8b1b6f0935ac6a44f38fa2a4f77f8f4f40015a214c6bd0819b1b674a227ba10" }, "target": { "record_id": "urn:uuid:4b1bf0b4-f4d1-4c45-a1c6-c22f9059edcf", "version": 1, "content_hash": "sha256:90a53cc5093263535bfbaa348cd8a297b14b8721c1e5afbaabf7be8d5d966386" }, "published_grade": { "profile": "wrs-published-grade-1", "edition": "2026-10-28.1", "id": "jiao-et-al-tinybert-transformer-distillation-2019", "entry_id": "jiao-et-al-tinybert-transformer-distillation-2019", "revision": 1, "title": "TinyBERT: transformer-layer distillation at pretraining and task adaptation", "context": "Model compression", "track": "Human-designed research method or resource", "band": "A", "modifier": null, "status": "PROVISIONAL_EDITORIAL", "assessed_on": "2026-10-16", "evidence_cutoff": "2026-10-16", "achievement_state": "SUPPORTED_SCOPED_RESULT", "what_changed": "Distilled transformer representations and predictions in general-domain and task-specific learning stages to produce compact BERT students.", "scope": "Distilled transformer representations and predictions in general-domain and task-specific learning stages to produce compact BERT students. Inherits knowledge distillation and BERT. Original paper's measured GLUE/inference tradeoffs are task/hardware-specific and do not imply universal retention or first teacher-student learning.", "evidence_summary": "The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits knowledge distillation and BERT. Original paper's measured GLUE/inference tradeoffs are task/hardware-specific and do not imply universal retention or first teacher-student learning.", "references": [ { "title": "TinyBERT: Distilling BERT for Natural Language Understanding", "url": "https://arxiv.org/abs/1909.10351v1", "locator": "Original contribution and stated assumptions, evaluation scope and limitations; source-linked assessment, not independent execution or proof certification." } ], "roles": [ { "who": "Source-listed authors and technical contributors", "credit": "SCIENCE", "did": "Source-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." } ], "target": { "record_id": "urn:uuid:4b1bf0b4-f4d1-4c45-a1c6-c22f9059edcf", "version": 1, "content_hash": "sha256:90a53cc5093263535bfbaa348cd8a297b14b8721c1e5afbaabf7be8d5d966386" }, "scientific_correctness_certified": false, "independent_expert_calibration": false, "method": "PROPRIETARY", "points": "135000" }, "canonical_agent_submission": false, "scientific_verification_awarded": false, "reader_guide": null, "reading_status": "SOURCE_LINKED_NOTE" }