{
  "title": "Daily Research Brief 2026-05-23",
  "url": "/en/posts/research-brief-2026-05-23/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-05-23/",
  "date": "2026-05-23",
  "lastmod": "2026-05-23",
  "author": "",
  "description": "Daily research brief — AI / LLM / Agent / Computer Vision / Audio-Video / Engineering",
  "categories": ["Research Brief"],
  "tags": ["AI","LLM","Agent","Computer Vision","Audio-Video","Engineering","Daily Brief"],
  "cover": "https://picsum.photos/seed/daily-research-brief-2026-05-23/1200/675",
  "readingTime": 1,
  "wordCount": 152,
  "content": "\u003ch1 id=\"daily-research-brief-2026-05-23\"\u003eDaily Research Brief 2026-05-23\u003c/h1\u003e\n\u003cp\u003e📊 Token usage: estimated from retrieval and writing scale.\u003c/p\u003e\n\u003cp\u003eCovers the latest AI research, open source and industry moves, updated daily.\u003c/p\u003e\n\u003chr\u003e\n\u003ch2 id=\"editors-note\"\u003eEditor\u0026rsquo;s Note\u003c/h2\u003e\n\u003cp\u003eThe 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.\u003c/p\u003e\n\u003ch2 id=\"1-latest-arxiv-papers\"\u003e1. Latest arXiv Papers\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eSpreadsheet-RL: Advancing LLM Agents for Spreadsheet Manipulation via RL\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.22642\"\u003ehttps://arxiv.org/abs/2605.22642\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMOSS: Self-Evolution through Source-Level Rewriting and Editing\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.22794\"\u003ehttps://arxiv.org/abs/2605.22794\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eImproved Baselines with Representation Autoencoders\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.18324\"\u003ehttps://arxiv.org/abs/2605.18324\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDisproof of the Erdős Unit Distance Conjecture via AI-Assisted Search\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.20579\"\u003ehttps://arxiv.org/abs/2605.20579\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCausal Forcing++: Real-Time Interactive Video Generation\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.15141\"\u003ehttps://arxiv.org/abs/2605.15141\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAI-Designed Hybrid Model Architectures Outperform Human Designs\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.15871\"\u003ehttps://arxiv.org/abs/2605.15871\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eRecursiveMAS: Boosting Multi-Agent Collaboration Efficiency\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eGigaBrain-0.5M: World Model-Conditioned VLA for General Robotic Manipulation\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2602.12099\"\u003ehttps://arxiv.org/abs/2602.12099\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eSeed: Decomposing LLM Reasoning Pathways via Chemical-Analogy Clustering\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2601.06002\"\u003ehttps://arxiv.org/abs/2601.06002\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eLRS-VoxMM: A Benchmark for In-the-Wild Audio-Visual Models\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2604.27866\"\u003ehttps://arxiv.org/abs/2604.27866\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-05-23 📊 Token usage: estimated from retrieval and writing scale.\nCovers the latest AI research, open source and industry moves, updated daily.\nEditor\u0026rsquo;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.\n1. Latest arXiv Papers Spreadsheet-RL: Advancing LLM Agents for Spreadsheet Manipulation via RL — https://arxiv.org/abs/2605.22642\n"
}