{
  "title": "Daily Research Brief 2026-06-14",
  "url": "/en/posts/research-brief-2026-06-14/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-06-14/",
  "date": "2026-06-14",
  "lastmod": "2026-06-14",
  "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-2026-06-14/1200/675",
  "readingTime": 1,
  "wordCount": 141,
  "content": "\u003ch1 id=\"daily-research-brief-2026-06-14\"\u003eDaily Research Brief 2026-06-14\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: calibration attacks on GNNs (The Confidence Trap), on-device assistant query recommendation (ToolRec), TVI-CoT interleaved chain-of-thought, and MDForge for agentic molecular dynamics pipelines.\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\u003eThe Confidence Trap: Calibration Attacks for Graph Neural Networks\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.08467\"\u003ehttps://arxiv.org/abs/2606.08467\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eToolRec: Calibrated Preference Alignment for Query Recommendation in On-Device Assistants\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.08466\"\u003ehttps://arxiv.org/abs/2606.08466\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAn Empirical Comparison of General Context-Free Parsers\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.08465\"\u003ehttps://arxiv.org/abs/2606.08465\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTVI-CoT: Text-Visual Interleaved Chain-of-Thought\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.08464\"\u003ehttps://arxiv.org/abs/2606.08464\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIterating Toward Better Search: A Two-Agent Simulation Framework for Evaluating Agentic Search Architectures in E-Commerce\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.12924\"\u003ehttps://arxiv.org/abs/2606.12924\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMDForge: Agentic Molecular Dynamics Pipeline Design under Sparse Simulator Feedback\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.12916\"\u003ehttps://arxiv.org/abs/2606.12916\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eZero-Source LLM Hallucination Detection with Human-Like Criteria Probing\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.12900\"\u003ehttps://arxiv.org/abs/2606.12900\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEfficient Transfer Learning for Low-Resource NLP Tasks\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-06-14 📊 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: calibration attacks on GNNs (The Confidence Trap), on-device assistant query recommendation (ToolRec), TVI-CoT interleaved chain-of-thought, and MDForge for agentic molecular dynamics pipelines.\n1. Latest arXiv Papers The Confidence Trap: Calibration Attacks for Graph Neural Networks — https://arxiv.org/abs/2606.08467\nToolRec: Calibrated Preference Alignment for Query Recommendation in On-Device Assistants — https://arxiv.org/abs/2606.08466\n"
}