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RoPE, SwiGLU, FlashAttention, RLHF and NTK-aware interpolation are inherited rather than attributed as Qwen inventions. Author benchmark results are not current product guarantees.", "domain": "Foundation-model training systems and resources" }, "sources": [ { "citation": "Qwen Technical Report", "url": "https://arxiv.org/abs/2309.16609v1" }, { "citation": "Bai et al.: Qwen multilingual and tool-using language-model system — official research record", "url": "https://qwenlm.github.io/publication/" } ], "statement": "# Bai et al.: Qwen multilingual and tool-using language-model system\n\nBuilt and documented the original Qwen pretraining and human-alignment pipeline, including multilingual tokenization, context extension and chat models evaluated on tool use, code interpretation and specialized reasoning.\n\n## Scientific scope\n\nOne original family and training-system record. RoPE, SwiGLU, FlashAttention, RLHF and NTK-aware interpolation are inherited rather than attributed as Qwen inventions. Author benchmark results are not current product guarantees.\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\nJinze Bai; Shuai Bai; Yunfei Chu; Zeyu Cui; Kai Dang; Xiaodong Deng; Yang Fan; Wenbin Ge; Yu Han; Fei Huang; Binyuan Hui; Luo Ji; Mei Li; Junyang Lin; Runji Lin; Dayiheng Liu; Gao Liu; Chengqiang Lu; Keming Lu; Jianxin Ma; Rui Men; Xingzhang Ren; Xuancheng Ren; Chuanqi Tan; Sinan Tan; Jianhong Tu; Peng Wang; Shijie Wang; Wei Wang; Shengguang Wu; Benfeng Xu; Jin Xu; An Yang; Hao Yang; Jian Yang; Shusheng Yang; Yang Yao; Bowen Yu; Hongyi Yuan; Zheng Yuan; Jianwei Zhang; Xingxuan Zhang; Yichang Zhang; Zhenru Zhang; Chang Zhou; Jingren Zhou; Xiaohuan Zhou; Tianhang Zhu\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- [Qwen Technical Report](https://arxiv.org/abs/2309.16609v1)\n- [Bai et al.: Qwen multilingual and tool-using language-model system — official research record](https://qwenlm.github.io/publication/)\n", "summary": "Built and documented the original Qwen pretraining and human-alignment pipeline, including multilingual tokenization, context extension and chat models evaluated on tool use, code interpretation and specialized reasoning.", "title": "Bai et al.: Qwen multilingual and tool-using language-model system" }, "record_id": "urn:uuid:7e0e9962-a8ea-4353-a515-5de71b8148e4", "version": 1, "source_ref": { "record_id": "urn:uuid:7e0e9962-a8ea-4353-a515-5de71b8148e4", "version": 1, "content_hash": "sha256:12db86962425c49f5ee32948a9dddc7a1ab90b1fcf51e627fd626186b51cbe77" }, "export_view": "wrs-public-editorial-view-1", "public_view_hash": "sha256:4603dadaaef4b4fff55ac93163216ca19e37e477f657509db3ffe6e6f700693b" }, "target": { "record_id": "urn:uuid:7e0e9962-a8ea-4353-a515-5de71b8148e4", "version": 1, "content_hash": "sha256:12db86962425c49f5ee32948a9dddc7a1ab90b1fcf51e627fd626186b51cbe77" }, "published_grade": { "profile": "wrs-published-grade-1", "edition": "2026-10-28.1", "id": "bai-et-al-qwen-language-system-2023", "entry_id": "bai-et-al-qwen-language-system-2023", "revision": 1, "title": "Bai et al.: Qwen multilingual and tool-using language-model system", "context": "Foundation-model training systems and resources", "track": "Human-designed research method or resource", "band": "B", "modifier": "+", "status": "PROVISIONAL_EDITORIAL", "assessed_on": "2026-10-16", "evidence_cutoff": "2026-10-16", "achievement_state": "SUPPORTED_SCOPED_RESULT", "what_changed": "Built and documented the original Qwen pretraining and human-alignment pipeline, including multilingual tokenization, context extension and chat models evaluated on tool use, code interpretation and specialized reasoning.", "scope": "Built and documented the original Qwen pretraining and human-alignment pipeline, including multilingual tokenization, context extension and chat models evaluated on tool use, code interpretation and specialized reasoning. One original family and training-system record. RoPE, SwiGLU, FlashAttention, RLHF and NTK-aware interpolation are inherited rather than attributed as Qwen inventions. Author benchmark results are not current product guarantees.", "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. One original family and training-system record. RoPE, SwiGLU, FlashAttention, RLHF and NTK-aware interpolation are inherited rather than attributed as Qwen inventions. Author benchmark results are not current product guarantees.", "references": [ { "title": "Qwen Technical Report", "url": "https://arxiv.org/abs/2309.16609v1", "locator": "Original contribution and stated assumptions, evaluation scope and limitations; source-linked assessment, not independent execution or proof certification." }, { "title": "Bai et al.: Qwen multilingual and tool-using language-model system — official research record", "url": "https://qwenlm.github.io/publication/", "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. 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