MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents
- 类型:arxiv
- 标识:2608.31022
- 链接:http://arxiv.org/abs/2608.31022v1
- 主分类:agent
- 形态:benchmark
- TLDR:AI agents in partially observable environments need to coordinate active sensing with working memory to maintain an evolving perceptual state. However, existing benchmarks struggle to isolate this perceptual-state construction and interpretation capability because they introduce physical and control complexities. We address this with MNIST-PRO, a benchmark that isolates agentic perception by converting MNIST digit recognition into a sequential, glimpse-based search task with lookback constraints. We evaluate ten multimodal models across four memory representations, including raw visual history
- 副分类:evaluation
- 待LLM分类:否
- 来源文件:
- /inbox/tom/_candidates/2026-09-01-agent-rag-longcontext-candidates.json