Researchers present ShopEase, a generative AI system built from multiple cooperating agents for enterprise customer support. It combines hybrid retrieval-augmented generation to pull relevant policy information and customer context, and routes hard cases to human agents. The paper is published on arXiv under cs.CL.
A new arXiv preprint introduces Phorecaster365, a reference architecture that combines automated forecasting with human oversight for pharmaceutical sales and planning decisions. The work argues that forecast interpretation depends on context such as inventory levels, transaction semantics, product lifecycle stage, and the information available at the time each forecast was made. It is positioned as a decision-support design rather than a deployed commercial system.
A new arXiv paper presents a human-in-the-loop meta Bayesian optimization framework aimed at experiments where each trial is costly and scarce, such as inertial confinement fusion. The approach combines learned meta-level priors with human feedback to guide the search over experimental parameters under tight budget constraints. The authors frame the method as applicable to scientific domains beyond fusion that face similar cost and access limits.
Researchers present CoTAL, a human-in-the-loop prompt engineering method for using large language models to score formative assessments and generate feedback for students. The work examines how well such prompting approaches generalize across educational contexts, with teachers involved in refining the prompts. It is published as an arXiv preprint in the computation and language category.
A new arXiv preprint examines how to choose a deferral policy for a fixed classifier, where uncertain cases are routed to human reviewers. The authors analyze how miscalibrated confidence scores, unequal error costs, fallible reviewers, and deployment-time distribution shift interact, using an environmental AI application as a real-world case study. The work offers practical guidance for deciding when automated predictions should be handed off rather than trusted outright.