{"schema_version":"onlylabs.public_signal.v1","title":"InclusionAI (Ant Group) Model: inclusionAI/AReaL-SEA-235B-A22B","description":"InclusionAI (Ant Group) model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/6d1d1b59-36e4-47c9-a8f7-4d3ea23813cf","json_url":"https://onlylabs.fyi/signals/6d1d1b59-36e4-47c9-a8f7-4d3ea23813cf/signal.json","generated_at":"2026-06-11T02:49:42.088477+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/6d1d1b59-36e4-47c9-a8f7-4d3ea23813cf","signal_json":"https://onlylabs.fyi/signals/6d1d1b59-36e4-47c9-a8f7-4d3ea23813cf/signal.json","source":"https://huggingface.co/inclusionAI/AReaL-SEA-235B-A22B","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":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"InclusionAI (Ant Group) published inclusionAI/AReaL-SEA-235B-A22B. 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charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:49:42.088477+00:00","bytes":5192,"raw_path":"f20895ec607c4907448cf74d781fc2b1225bd8a5fc59fc14a49f45aec1de0217.md","content_hash":"5ec0c98a6a20eaaeedbd2ef8c0dec970b2eac04cf639c38777a5f6338ff64886","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 base_model: Qwen/Qwen3-235B-A22B-Thinking-2507 tags: - tool-use - agent - multi-turn - reinforcement-learning - GRPO - tau2-bench - AReaL language: - en pipeline_tag: text-generation --- AReaL-SEA-235B-A22B — Interactive Tool-Using Agent **AReaL-SEA-235B-A22B** is a multi-turn interactive tool-using agent fine-tuned from [Qwen3-235B-A22B-Thinking-2507](https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507) using SFT + Reinforcement Learning with Verifiable Rewards. - **Paper**: [From Self-Evolving Synthetic Data to Verifiable-Reward RL: Post-Training Multi-turn Interactive Tool-Using Agents](https://arxiv.org/abs/2601.22607) - **Training Framework**: [AReaL](https://github.com/inclusionAI/AReaL) — A Large-Scale Asynchronous Reinforcement Learning System - **Benchmark**: [τ²-bench](https://github.com/sierra-research/tau2-bench) Highlights - Achieves **81.3%** average pass^1 across all three τ²-bench domains, surpassing GPT-5 (80.0%) and Qwen3-Max-Thinking (80.7%). - Trained entirely on self-evolving synthetic data — no human annotation required. - End-to-end post-training (SFT → RL) powered by **[AReaL](https://github.com/inclusionAI/AReaL)**, using..."}],"related_signals":[{"id":"107f41df-b146-4e20-b2f3-fe20b0beba2f","url":"https://onlylabs.fyi/signals/107f41df-b146-4e20-b2f3-fe20b0beba2f","source_url":"https://huggingface.co/inclusionAI/ARGenSeg-8B","title":"inclusionAI/ARGenSeg-8B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-05-15T02:33:52+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"dde86c8e-76c3-4d1e-83d6-49cf5c3f4ffb","url":"https://onlylabs.fyi/signals/dde86c8e-76c3-4d1e-83d6-49cf5c3f4ffb","source_url":"https://huggingface.co/inclusionAI/Ring-2.6-1T","title":"inclusionAI/Ring-2.6-1T","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-05-14T08:10:02+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"d6c4a960-010a-4ca7-8e50-d0daac87bfaf","url":"https://onlylabs.fyi/signals/d6c4a960-010a-4ca7-8e50-d0daac87bfaf","source_url":"https://huggingface.co/inclusionAI/LLaDA2.0-Uni-FP8","title":"inclusionAI/LLaDA2.0-Uni-FP8","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-05-06T08:03:43+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"d56c53e5-d719-424a-964b-24995a3277c7","url":"https://onlylabs.fyi/signals/d56c53e5-d719-424a-964b-24995a3277c7","source_url":"https://huggingface.co/inclusionAI/Ling-2.6-1T","title":"inclusionAI/Ling-2.6-1T","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-29T03:19:36+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"5f271d7b-0454-436e-b047-20873d891685","url":"https://onlylabs.fyi/signals/5f271d7b-0454-436e-b047-20873d891685","source_url":"https://huggingface.co/inclusionAI/Ling-2.6-flash","title":"inclusionAI/Ling-2.6-flash","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-28T03:27:56+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"34bceb00-128e-426c-9c45-ec7f6b585baa","url":"https://onlylabs.fyi/signals/34bceb00-128e-426c-9c45-ec7f6b585baa","source_url":"https://huggingface.co/inclusionAI/LLaDA2.0-Uni","title":"inclusionAI/LLaDA2.0-Uni","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-22T17:10:47+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"}]}