{"schema_version":"onlylabs.public_signal.v1","title":"InclusionAI (Ant Group) Repo: inclusionAI/LLaDA-UI","description":"InclusionAI (Ant Group) repo signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/10f0618f-6b9a-4254-bf66-3496eb82c2d6","json_url":"https://onlylabs.fyi/signals/10f0618f-6b9a-4254-bf66-3496eb82c2d6/signal.json","generated_at":"2026-09-09T18:48:28.348Z","evidence_latest_fetched_at":"2026-09-09T07:02:46.184387+00:00","signal_first_seen_at":"2026-09-09T07:01:02.602476+00:00","org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/inclusionai","dossier_json_url":"https://onlylabs.fyi/labs/inclusionai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/10f0618f-6b9a-4254-bf66-3496eb82c2d6","signal_json":"https://onlylabs.fyi/signals/10f0618f-6b9a-4254-bf66-3496eb82c2d6/signal.json","source":"https://github.com/inclusionAI/LLaDA-UI","lab_dossier":"https://onlylabs.fyi/labs/inclusionai","lab_dossier_json":"https://onlylabs.fyi/labs/inclusionai/dossier.json","analysis":"https://onlylabs.fyi/analysis/inclusionai","analysis_json":"https://onlylabs.fyi/analysis/inclusionai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/inclusionai/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"InclusionAI (Ant Group) published inclusionAI/LLaDA-UI (Python). 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It combines a native dynamic-resolution vision encoder with the LLaDA2.0-mini-base diffusion language backbone, and generates reasoning and GUI actions through the same block-wise diffusion decoder. Figure 1. LLaDA-UI GUI-agent performance and qualitative block-wise diffusion decoding. The radar chart and GUI observation remain static while the model output is progressively denoised. Highlights - **Diffusion-native multimodal agent:** LLaDA-UI extends a masked diffusion language model to visual understanding and executable GUI interaction. - **MoE architecture:** approximately 16.7B total parameters end to end. - **Two-stage training:** large-scale multimodal pre-training aligns a native-resolution SigLIP-initialized ViT with LLaDA2.0-mini-base, followed by GUI-agent supervised fine-tuning. - **Cross-platform interaction:** training covers grounding, mobile,..."},"evidence_pages":[],"related_signals":[{"id":"31e25dc2-f9c7-459b-96d8-64e1d82b7457","url":"https://onlylabs.fyi/signals/31e25dc2-f9c7-459b-96d8-64e1d82b7457","source_url":"https://github.com/inclusionAI/Choruz","title":"inclusionAI/Choruz","context":"Rust","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-09-02T06:46:09+00:00","first_seen_at":"2026-09-04T07:01:55.668395+00:00","date_source":"source"},{"id":"a19535d3-bfbe-4a7e-8c7a-d6f139ca67e5","url":"https://onlylabs.fyi/signals/a19535d3-bfbe-4a7e-8c7a-d6f139ca67e5","source_url":"https://github.com/inclusionAI/LLaDA-Image","title":"inclusionAI/LLaDA-Image","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-08-31T07:21:37+00:00","first_seen_at":"2026-09-04T07:01:55.668395+00:00","date_source":"source"},{"id":"d10503c8-efdc-49ce-8e0a-3e52971a7d9f","url":"https://onlylabs.fyi/signals/d10503c8-efdc-49ce-8e0a-3e52971a7d9f","source_url":"https://github.com/inclusionAI/LLaDA-Research","title":"inclusionAI/LLaDA-Research","context":"TypeScript","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-08-20T09:29:27+00:00","first_seen_at":"2026-08-21T07:03:46.368274+00:00","date_source":"source"},{"id":"3d7d5e6f-e28e-4be3-ba5c-0cce6e9ebe1d","url":"https://onlylabs.fyi/signals/3d7d5e6f-e28e-4be3-ba5c-0cce6e9ebe1d","source_url":"https://github.com/inclusionAI/ConceptEdit","title":"inclusionAI/ConceptEdit","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-08-17T07:22:08+00:00","first_seen_at":"2026-08-18T07:00:59.127991+00:00","date_source":"source"},{"id":"08a1098a-c1d1-426a-bcb4-641a15b6bf63","url":"https://onlylabs.fyi/signals/08a1098a-c1d1-426a-bcb4-641a15b6bf63","source_url":"https://github.com/inclusionAI/SingProbe","title":"inclusionAI/SingProbe","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-08-17T02:05:33+00:00","first_seen_at":"2026-09-03T07:01:03.123748+00:00","date_source":"source"},{"id":"f7327a8f-c870-4443-b5c6-84a8fa0efdfa","url":"https://onlylabs.fyi/signals/f7327a8f-c870-4443-b5c6-84a8fa0efdfa","source_url":"https://github.com/inclusionAI/ling-cookbook","title":"inclusionAI/ling-cookbook","context":"Jupyter Notebook","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-08-13T06:42:16+00:00","first_seen_at":"2026-08-16T07:03:27.854815+00:00","date_source":"source"}]}