6 papers
Why Do AI Agents Break Rules? How Framing, Context, and Social Signals Shape Compliance
Mika Okamoto, Ansel Kaplan Erol, Kutluhan Erol
Specifying a penalty can turn a legal obligation into a cost-benefit calculation that favors violation. We show that this enforcement information paradox occurs in AI agents. Most…
Equinox: Decentralized Scheduling for Hardware-Aware Orbital Intelligence
Ansel Kaplan Erol, Divya Mahajan
Earth-observation satellites are emerging as distributed edge platforms for time-critical tasks, yet orbital scheduling remains challenged by intermittent energy harvesting and tem…
EarthSight: A Distributed Framework for Low-Latency Satellite Intelligence
Ansel Kaplan Erol, Seungjun Lee, Divya Mahajan
Low-latency delivery of satellite imagery is essential for time-critical applications such as disaster response, intelligence, and infrastructure monitoring. However, traditional p…
Explainable Model Routing for Agentic Workflows
Mika Okamoto, Ansel Kaplan Erol, Mark Riedl
Modern agentic workflows decompose complex tasks into specialized subtasks and route them to diverse models to minimize cost without sacrificing quality. However, current routing a…
Synapse: Evolving Job-Person Fit with Explainable Two-phase Retrieval and LLM-guided Genetic Resume Optimization
Ansel Kaplan Erol, Seohee Yoon, Keenan Hom +1
Modern recruitment platforms operate under severe information imbalance: job seekers must search over massive, rapidly changing collections of postings, while employers are overwhe…
Trust by Design: Skill Profiles for Transparent, Cost-Aware LLM Routing
Mika Okamoto, Ansel Kaplan Erol, Glenn Matlin
How should Large Language Model (LLM) practitioners select the right model for a task without wasting money? We introduce BELLA (Budget-Efficient LLM Selection via Automated skill-…