Author

Bang-Yan Li

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#artificial intelligence Preprint Sep 2026

Watch-Think-Interact: Bootstrapping Long-Horizon Multi-Turn Streaming Video Reasoning with Reinforcement Learning

Watch-Think-Interact (WTI), a closed-loop framework for multi-question streaming video reasoning that maintains compact natural-language memory entries tagged with source-video time ranges, achieves state-of-the-art aggregate performance among the compared open-source streaming baselines.

Zi-Heng Huang, Yi-Cheng Bao, Xue-Heng Li et al. · 0 citations

#artificial intelligence Preprint Sep 2026

FlowState: Execution State as Memory for Long-Horizon LLM Agents

Compared with a full-context baseline using the same DeepSeek-V4-Flash model, FlowState improves the average success rate on MemoryArena and the average pass rate on $\tau^3$-Bench by 4.55 and 13.95 percentage points, respectively, while reducing total token consumption.

Ming-Hao Li, Bang-Yan Li, Zi-Fan Wang et al. · 0 citations