{
  "title": "Daily Research Brief 2026-05-08",
  "url": "/en/posts/research-brief-2026-05-08/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-05-08/",
  "date": "2026-05-08",
  "lastmod": "2026-05-08",
  "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-2026-05-08/1200/675",
  "readingTime": 1,
  "wordCount": 130,
  "content": "\u003ch1 id=\"daily-research-brief-2026-05-08\"\u003eDaily Research Brief 2026-05-08\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: multi-agent LLM debate evaluation (12 Angry AI Agents), language-driven hierarchical RL (Moira), a language for agentic contexts, AI-assisted peer review at AAAI-26 scale, and temporal curriculum online policy distillation.\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\u003e12 Angry AI Agents: Evaluating Multi-Agent LLM Debate\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.01986\"\u003ehttps://arxiv.org/abs/2605.01986\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMoira: Language-Driven Hierarchical Reinforcement Learning\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.01954\"\u003ehttps://arxiv.org/abs/2605.01954\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eA Language for Describing Agentic LLM Contexts\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.01920\"\u003ehttps://arxiv.org/abs/2605.01920\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAI-Assisted Peer Review at Scale: The AAAI-26 AI Review Experience\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2604.13940\"\u003ehttps://arxiv.org/abs/2604.13940\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eNatural Language Autoencoder: Uncovering Hidden Representations\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDynamic-dLLM: Training-Free Acceleration Framework\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.02145\"\u003ehttps://arxiv.org/abs/2605.02145\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eBAAI Cardiac Agent: Multi-Modal Reasoning Agent for Cardiology\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTCOD: Temporal Curriculum Online Policy Distillation\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.02087\"\u003ehttps://arxiv.org/abs/2605.02087\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-05-08 📊 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: multi-agent LLM debate evaluation (12 Angry AI Agents), language-driven hierarchical RL (Moira), a language for agentic contexts, AI-assisted peer review at AAAI-26 scale, and temporal curriculum online policy distillation.\n1. Latest arXiv Papers 12 Angry AI Agents: Evaluating Multi-Agent LLM Debate — https://arxiv.org/abs/2605.01986\n"
}