{
  "title": "Daily Research Brief 2026-05-24",
  "url": "/en/posts/research-brief-2026-05-24/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-05-24/",
  "date": "2026-05-24",
  "lastmod": "2026-05-24",
  "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-2026-05-24/1200/675",
  "readingTime": 1,
  "wordCount": 163,
  "content": "\u003ch1 id=\"daily-research-brief-2026-05-24\"\u003eDaily Research Brief 2026-05-24\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: a survey of multi-agent systems beyond individual intelligence, trust-region fine-tuning for agent collaboration (TeamTR), participatory AI mapping, NeuroMAS (multi-agent systems as neural networks), and a unified Theory of Agent.\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\u003eBeyond Individual Intelligence: A Survey of Multi-Agent Systems and Collaboration\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.14892\"\u003ehttps://arxiv.org/abs/2605.14892\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Collaboration\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.15207\"\u003ehttps://arxiv.org/abs/2605.15207\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eVoices in the Loop: Mapping Participatory AI\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.16827\"\u003ehttps://arxiv.org/abs/2605.16827\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Paradigm Agent Interaction in Practice: A Systematic Study\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.16821\"\u003ehttps://arxiv.org/abs/2605.16821\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eNeuroMAS: Multi-Agent Systems as Neural Networks with Joint Optimization\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.16757\"\u003ehttps://arxiv.org/abs/2605.16757\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAutonomous Discovery of Neural Architectures by AI Agents: AIRA-Compose and AIRA-Design\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTheory of Agent (ToA): A Unified Framework for Agent Intelligence\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2506.00886\"\u003ehttps://arxiv.org/abs/2506.00886\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMoE Pre-Training: Dynamic Decomposition of Neurons\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eNudging Beyond the Comfort Zone: Efficient Strategies for Agent Exploration\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.15726\"\u003ehttps://arxiv.org/abs/2605.15726\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCODA: Rewriting Transformer Blocks as GEMM-Epilogue Units\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-05-24 📊 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: a survey of multi-agent systems beyond individual intelligence, trust-region fine-tuning for agent collaboration (TeamTR), participatory AI mapping, NeuroMAS (multi-agent systems as neural networks), and a unified Theory of Agent.\n1. Latest arXiv Papers Beyond Individual Intelligence: A Survey of Multi-Agent Systems and Collaboration — https://arxiv.org/abs/2605.14892\n"
}