From Text Decisions to Pixels: An Study of Jev-Style Visual Choice Model

arXiv:2609.29283 · cs.AI, cs.LG · Submitted 2026-09-24 · Read on arXiv

cs.AI, cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/TheoLeeCJ/SemIf

Terminology

• Adaptation — 40× in this paper · explained in 1 episode
• Accuracy — 37× in this paper · explained in 1 episode
• Calibration — 27× in this paper · explained in 7 episodes
• Benchmark — 12× in this paper · explained in 2 episodes
• Frozen model — 4× in this paper · explained in 3 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Regularization — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• AUROC — 1× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Generalization — 1× in this paper · explained in 13 episodes
• Hamming Distance — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Jev for Scientific Decisions: Evaluating Semantic Choices and Their Consequences
• EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
• Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents
• Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
• Visual Jev: Accurate and Efficient Decisions from Shared Visual Context
• Calibrated Decisions at Scale: Converting Police Crash Narratives into Probabilistic Crash Variables with a System One Model (Jev)
• Do CIFAR-10 Classifiers Generalize to CIFAR-10?
• Open-Jev Judgments on CallScreenBench: Calibrated One-Pass Scam Screening with a Small Language Model
• A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge

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