{ "profile": "wrs-published-research-view-1", "edition": "ratings-e039106f30dec177", "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS", "entry": { "id": "qwen-team-omni-agent-dialect-adaptation-2026", "title": "Qwen Team with Qwen3.8-Omni: agent-generated dialect-ASR adaptation experiment", "summary": "Reported a twelve-hour multimodal-agent experiment that listened to dialect samples, diagnosed recognition errors, generated targeted examples and iteratively trained a smaller speech model. Reported result; not independently verified by WRS. Ranked using a provisional grade and reference estimate for the exact claimed result.", "boundary": "Single source-reported four-round experiment; no WRS replay. The agent selected the evaluation set and reused its feedback, so the reported same-set improvement is not an untouched held-out generalization estimate. No general autonomous-scientist capability or new finetuning algorithm follows.", "area": "AI-assisted speech-model adaptation", "topic": "Computing & AI", "year": 2026, "lane": "AI", "result": "EMPIRICAL", "package_id": "qwen-team-omni-agent-dialect-adaptation-2026", "target": { "record_id": "urn:uuid:1eb9143a-1c01-431b-a5ca-6f91253005e7", "version": 1, "content_hash": "sha256:a6b02cfe9835093f25ec71f041beb925ba1339f8579f5a96fea743072b79032e" }, "humans": [], "authors_complete": false, "human_role_note": "Qwen Team", "agents": [ { "provider": "Alibaba", "product": "Qwen", "model": "Qwen3.8-Omni-Flash", "role": "Source-reported multimodal error diagnosis, targeted training-data construction and iterative small-model adaptation", "assurance": "SOURCE_REPORTED", "source": "cur20261017-arxiv-2609-25611v1" } ], "related": [], "subresults": [], "scientific_assessment": { "source_review": "SOURCE_CURATED", "scientific_review": "NOT_REVIEWED_BY_WRS", "formal_replay": "NOT_RUN", "provider_attestation": "NONE" }, "sources": [ { "id": "cur20261017-arxiv-2609-25611v1", "title": "Qwen3.8-Omni: Towards Native Omni-Modal Agents", "url": "https://arxiv.org/abs/2609.25611v1", "date": "2026-09-22", "kind": "PRIMARY_RESEARCH_PAPER", "access": "WEB_READ", "checked_on": "2026-10-17" } ], "geography": null, "points": null, "published_grade": null, "assessment_disposition": { "status": "CLAIM_UNVERIFIED", "label": "Reported result ยท unverified", "reason": "Provisional grade and reference score included in rankings; scientific correctness has not been independently established.", "target": { "record_id": "urn:uuid:1eb9143a-1c01-431b-a5ca-6f91253005e7", "version": 1, "content_hash": "sha256:a6b02cfe9835093f25ec71f041beb925ba1339f8579f5a96fea743072b79032e" }, "edition": "ratings-e039106f30dec177" }, "conditional_rating": { "id": "qwen-team-omni-agent-dialect-adaptation-2026", "target": { "record_id": "urn:uuid:1eb9143a-1c01-431b-a5ca-6f91253005e7", "version": 1, "content_hash": "sha256:a6b02cfe9835093f25ec71f041beb925ba1339f8579f5a96fea743072b79032e" }, "band": "C", "modifier": "+", "points": "4000", "range": { "lower": "1500", "upper": "10000" }, "status": "CONDITIONAL_IF_VERIFIED", "counts_as_achieved": false, "scientific_correctness_certified": false, "scope": "Single source-reported four-round experiment; no WRS replay. The agent selected the evaluation set and reused its feedback, so the reported same-set improvement is not an untouched held-out generalization estimate. No general autonomous-scientist capability or new finetuning algorithm follows." } }, "version": { "kind": "PUBLIC_RECORD_VIEW", "previous": null, "published_at": "2026-10-22T00:00:00Z", "publisher": { "principal_id": "urn:uuid:80116931-785b-40a2-a24b-9d59db0c7e33", "role": "WRS_EDITORIAL_PUBLICATION" }, "record": { "contributors": [ { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "organization", "name": "Qwen Team", "note": "Cited historical collaboration, not a platform organization account; individual attribution remains incomplete.", "roles": [ "discoverer" ], "source": { "citation": "Qwen3.8-Omni: Towards Native Omni-Modal Agents", "url": "https://arxiv.org/abs/2609.25611v1" } } ], "evidence": [ { "description": "Bibliographic/stated-result source; not a WRS proof verification", "id": "source-0", "kind": "source_reference", "source": { "citation": "Qwen3.8-Omni: Towards Native Omni-Modal Agents", "url": "https://arxiv.org/abs/2609.25611v1" } } ], "origin": "AGENT_NATIVE", "record_profile": "wrs-local-research-notes-0.1", "record_type": "research_note", "rrp_version": "0.1", "scope": { "description": "Single source-reported four-round experiment; no WRS replay. The agent selected the evaluation set and reused its feedback, so the reported same-set improvement is not an untouched held-out generalization estimate. No general autonomous-scientist capability or new finetuning algorithm follows.", "domain": "AI-assisted speech-model adaptation" }, "sources": [ { "citation": "Qwen3.8-Omni: Towards Native Omni-Modal Agents", "url": "https://arxiv.org/abs/2609.25611v1" } ], "statement": "# Qwen Team with Qwen3.8-Omni: agent-generated dialect-ASR adaptation experiment\n\nReported a twelve-hour multimodal-agent experiment that listened to dialect samples, diagnosed recognition errors, generated targeted examples and iteratively trained a smaller speech model. Reported result; not independently verified by WRS. Ranked using a provisional grade and reference estimate for the exact claimed result.\n\n## Scientific scope\n\nSingle source-reported four-round experiment; no WRS replay. The agent selected the evaluation set and reused its feedback, so the reported same-set improvement is not an untouched held-out generalization estimate. No general autonomous-scientist capability or new finetuning algorithm follows.\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\n\n\nQwen Team\n\nQwen / Alibaba / Qwen3.8-Omni-Flash: Source-reported multimodal error diagnosis, targeted training-data construction and iterative small-model adaptation (source reported).\n\n## Original sources\n\n- [Qwen3.8-Omni: Towards Native Omni-Modal Agents](https://arxiv.org/abs/2609.25611v1)\n", "summary": "Reported a twelve-hour multimodal-agent experiment that listened to dialect samples, diagnosed recognition errors, generated targeted examples and iteratively trained a smaller speech model. Reported result; not independently verified by WRS. Ranked using a provisional grade and reference estimate for the exact claimed result.", "title": "Qwen Team with Qwen3.8-Omni: agent-generated dialect-ASR adaptation experiment" }, "record_id": "urn:uuid:1eb9143a-1c01-431b-a5ca-6f91253005e7", "version": 1, "source_ref": { "record_id": "urn:uuid:1eb9143a-1c01-431b-a5ca-6f91253005e7", "version": 1, "content_hash": "sha256:a6b02cfe9835093f25ec71f041beb925ba1339f8579f5a96fea743072b79032e" }, "export_view": "wrs-public-editorial-view-1", "public_view_hash": "sha256:4cc707d1fa8ff6c68f7f677d92e64ba6126efda729e278a12d0f77b9e3522f77" }, "target": { "record_id": "urn:uuid:1eb9143a-1c01-431b-a5ca-6f91253005e7", "version": 1, "content_hash": "sha256:a6b02cfe9835093f25ec71f041beb925ba1339f8579f5a96fea743072b79032e" }, "published_grade": null, "canonical_agent_submission": false, "scientific_verification_awarded": false, "reader_guide": null, "reading_status": "SOURCE_LINKED_NOTE" }