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not a WRS proof verification", "id": "source-1", "kind": "source_reference", "source": { "citation": "Yang and colleagues: Qwen2 open-weight multilingual language-model family — official research record", "url": "https://qwenlm.github.io/blog/qwen2/" } } ], "origin": "HUMAN_LEGACY", "record_profile": "wrs-local-research-notes-0.1", "record_type": "research_note", "rrp_version": "0.1", "scope": { "description": "One family-level report; not one achievement per parameter size or quantization. Qwen Team and Alibaba Group appear as affiliation, not additional personal authors.", "domain": "Language foundation models" }, "sources": [ { "citation": "Qwen2 Technical Report", "url": "https://arxiv.org/abs/2407.10671v4" }, { "citation": "Yang and colleagues: Qwen2 open-weight multilingual language-model family — official research record", "url": "https://qwenlm.github.io/blog/qwen2/" } ], "statement": "# Yang and colleagues: Qwen2 open-weight multilingual language-model family\n\nReleased dense and mixture-of-experts base and instruction-tuned language models with multilingual, coding and mathematical evaluations.\n\n## Scientific scope\n\nOne family-level report; not one achievement per parameter size or quantization. Qwen Team and Alibaba Group appear as affiliation, not additional personal authors.\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\nAn Yang; Baosong Yang; Binyuan Hui; Bo Zheng; Bowen Yu; Chang Zhou; Chengpeng Li; Chengyuan Li; Dayiheng Liu; Fei Huang; Guanting Dong; Haoran Wei; Huan Lin; Jialong Tang; Jialin Wang; Jian Yang; Jianhong Tu; Jianwei Zhang; Jianxin Ma; Jianxin Yang; Jin Xu; Jingren Zhou; Jinze Bai; Jinzheng He; Junyang Lin; Kai Dang; Keming Lu; Keqin Chen; Kexin Yang; Mei Li; Mingfeng Xue; Na Ni; Pei Zhang; Peng Wang; Ru Peng; Rui Men; Ruize Gao; Runji Lin; Shijie Wang; Shuai Bai; Sinan Tan; Tianhang Zhu; Tianhao Li; Tianyu Liu; Wenbin Ge; Xiaodong Deng; Xiaohuan Zhou; Xingzhang Ren; Xinyu Zhang; Xipin Wei; Xuancheng Ren; Xuejing Liu; Yang Fan; Yang Yao; Yichang Zhang; Yu Wan; Yunfei Chu; Yuqiong Liu; Zeyu Cui; Zhenru Zhang; Zhifang Guo; Zhihao Fan\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- [Qwen2 Technical Report](https://arxiv.org/abs/2407.10671v4)\n- [Yang and colleagues: Qwen2 open-weight multilingual language-model family — official research record](https://qwenlm.github.io/blog/qwen2/)\n", "summary": "Released dense and mixture-of-experts base and instruction-tuned language models with multilingual, coding and mathematical evaluations.", "title": "Yang and colleagues: Qwen2 open-weight multilingual language-model family" }, "record_id": "urn:uuid:13f06c3e-bdd2-441a-a1e2-1124914fb0be", "version": 1, "source_ref": { "record_id": "urn:uuid:13f06c3e-bdd2-441a-a1e2-1124914fb0be", "version": 1, "content_hash": "sha256:03d9a72d307f1de879b2db51c7ae616d21502759e06253fe07944463d967f331" }, "export_view": "wrs-public-editorial-view-1", "public_view_hash": "sha256:3a9a39ce3619eb6af783c926f34d25e19cba8d19012c6fd295f5cf295ce16eba" }, "target": { "record_id": "urn:uuid:13f06c3e-bdd2-441a-a1e2-1124914fb0be", "version": 1, "content_hash": "sha256:03d9a72d307f1de879b2db51c7ae616d21502759e06253fe07944463d967f331" }, "published_grade": { "profile": "wrs-published-grade-1", "edition": "2026-10-28.1", "id": "yang-et-al-qwen2-family-2024", "entry_id": "yang-et-al-qwen2-family-2024", "revision": 1, "title": "Yang and colleagues: Qwen2 open-weight multilingual language-model family", "context": "Language foundation models", "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": "Released dense and mixture-of-experts base and instruction-tuned language models with multilingual, coding and mathematical evaluations.", "scope": "Released dense and mixture-of-experts base and instruction-tuned language models with multilingual, coding and mathematical evaluations. One family-level report; not one achievement per parameter size or quantization. Qwen Team and Alibaba Group appear as affiliation, not additional personal authors.", "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 family-level report; not one achievement per parameter size or quantization. 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