OCL is a governance layer for LLM agents that cuts unsafe executions from 88% to near-zero and raises valid success from 12% to 96% in adversarial buyer-seller negotiations across frontier LLMs.
Zero-Shot Sketch-Based Remote-Sensing Image Retrieval Based on Multi-Level and Attention-Guided Tokenization , volume=
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ROGLE automates region-level supervision via Region-to-Sentence Matching and introduces the P-VLG benchmark to improve fine-grained alignment in text-based person search over CLIP-based models.
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Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems
OCL is a governance layer for LLM agents that cuts unsafe executions from 88% to near-zero and raises valid success from 12% to 96% in adversarial buyer-seller negotiations across frontier LLMs.
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ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search
ROGLE automates region-level supervision via Region-to-Sentence Matching and introduces the P-VLG benchmark to improve fine-grained alignment in text-based person search over CLIP-based models.