Spatial Action Review: A Visual Analytics Dashboard for Auditing Language-to-Action Hand-offs in Electron Microscopy

arXiv:2609.24470 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

Code: https://github.com/Mohinta2892/SpatialActionReview

Terminology

• Accuracy — 18× in this paper · explained in 1 episode
• Benchmark — 11× in this paper · explained in 2 episodes
• Grounding — 11× in this paper · explained in 3 episodes
• GRPO — 9× in this paper · explained in 6 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Trace — 4× in this paper · explained in 2 episodes
• Human-in-the-Loop — 3× in this paper · explained in 3 episodes
• Model Context Protocol — 3× in this paper
• Provenance — 3× in this paper · explained in 4 episodes
• Accountability — 2× in this paper · explained in 2 episodes
• Active Learning — 1× in this paper · explained in 6 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• CVF International Conference on Computer Vision — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Group Relative Policy Optimization — 1× in this paper
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Model Context Protocol (MCP) — 1× in this paper · explained in 8 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes

Sources

• Qwen3-VL Technical Report
• Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic
• PointArena: Probing Multimodal Grounding Through Language-Guided Pointing
• MMBU: A Massive Multi-modal Biomedical Understanding Benchmark to Probe the Perception Capabilities of Vision-Language Models
• {\mu}-Bench: A Vision-Language Benchmark for Microscopy Understanding
• VISTAQA: Benchmarking Joint Visual Question Answering and Pixel-Level Evidence
• Kosmos-2: Grounding Multimodal Large Language Models to the World
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Evidence-Backed Video Question Answering
• Ferret: Refer and Ground Anything Anywhere at Any Granularity
• Multimodal Large Language Models for Bioimage Analysis
• From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery

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