MiroEval: New Benchmark for Multimodal Deep Research Agents Evaluates Process and Outcome — 51 HF Upvotes

arXiv / HuggingFace Daily Papers·medium signal

MiroEval introduces a benchmark that evaluates multimodal deep research agents on both their process (how they reason and search) and outcome (final answer quality), addressing the gap where existing benchmarks only measure end results. With 51 HuggingFace upvotes, this is gaining traction as deep research agents (like Gemini Deep Research and ChatGPT's research mode) proliferate. Relevant for builders designing evaluation frameworks for their own research agent systems.