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🤖 Artificial Intelligence

MAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation and RL Training ac

📄 MAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation and RL Training across Mobile and Computer Environments

Online reinforcement learning (RL) with verifiable rewards has driven rapid progress in mathematics, coding, and tool use, but scaling this success to GUI agents remains challenging due to the high cost of interactive environments and the scarcity of realistic training tasks. We introduce MAI-Gym, a

Oct 14, 2026 View on arXiv →
🤖 Artificial Intelligence

RL-Guided Temporal Localization for Dual-Channel Retrieval in Long-Horizon Agent

📄 RL-Guided Temporal Localization for Dual-Channel Retrieval in Long-Horizon Agent Memory

Time-aware retrieval is crucial for long-horizon LLM agents to effectively leverage ever-growing long-term memory. Existing methods focus on lexical or semantic similarity, leading to target memories being crowded out by temporally mismatched yet semantically similar candidates. Even time-aware appr

Oct 16, 2026 View on arXiv →
👁️ Computer Vision

Intern Lumina U2: A Multi-Codebook Diffusion Large Language Model for Omni-Visua

📄 Intern Lumina U2: A Multi-Codebook Diffusion Large Language Model for Omni-Visual Understanding and Image Generation

Unified multimodal generation covers discrete, continuous, and hybrid paradigms. Discrete approaches with single-codebook visual tokenizers align naturally with text modeling but have limited representational capacity. Continuous and hybrid approaches retain richer visual representations, but they m

Oct 14, 2026 View on arXiv →

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