📑 Table of Contents

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Editor’s Note

The paper thread today: Spreadsheet-RL brings RL to spreadsheet agents, MOSS self-evolves through source-level rewriting, an AI-assisted disproof of the Erdős unit-distance conjecture, and AI-designed hybrid architectures that outperform human designs.

1. Latest arXiv Papers

  1. Spreadsheet-RL: Advancing LLM Agents for Spreadsheet Manipulation via RLhttps://arxiv.org/abs/2605.22642

  2. MOSS: Self-Evolution through Source-Level Rewriting and Editinghttps://arxiv.org/abs/2605.22794

  3. Improved Baselines with Representation Autoencodershttps://arxiv.org/abs/2605.18324

  4. Disproof of the Erdős Unit Distance Conjecture via AI-Assisted Searchhttps://arxiv.org/abs/2605.20579

  5. Causal Forcing++: Real-Time Interactive Video Generationhttps://arxiv.org/abs/2605.15141

  6. AI-Designed Hybrid Model Architectures Outperform Human Designshttps://arxiv.org/abs/2605.15871

  7. RecursiveMAS: Boosting Multi-Agent Collaboration Efficiency

  8. GigaBrain-0.5M: World Model-Conditioned VLA for General Robotic Manipulationhttps://arxiv.org/abs/2602.12099

  9. Seed: Decomposing LLM Reasoning Pathways via Chemical-Analogy Clusteringhttps://arxiv.org/abs/2601.06002

  10. LRS-VoxMM: A Benchmark for In-the-Wild Audio-Visual Modelshttps://arxiv.org/abs/2604.27866

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