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New agentic framework ASMR automates ship maintenance report schema generation

Researchers have introduced ASMR, an agentic framework designed to automatically generate schemas for ship maintenance reports. This system uses a Field Generation Agent to extract semantic concepts and a Structural Optimizer Agent, employing reinforcement learning, to create compact and informative schema representations. The goal is to improve the completeness, consistency, and actionability of maintenance reports. AI

IMPACT This research could lead to more structured and efficient data collection in specialized fields like maritime maintenance.

RANK_REASON The cluster contains a research paper published on arXiv detailing a new agentic framework for schema generation.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New agentic framework ASMR automates ship maintenance report schema generation

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Sohrab Namazi Nia, Amogh Dalal, Ning Sa, Peter Ly, Marti Zentmaier, Tomek Strzalkowski, Jay Miller, Rishi Singh, Senjuti Basu Roy ·

    ASMR: Agentic Schema Generation for Ship Maintenance Report Writing

    arXiv:2607.08177v1 Announce Type: new Abstract: In this paper, we study the automatic schema generation problem: given a collection of historical ship maintenance and operational reports across multiple form categories, automatically discover compact and informative schemas that …

  2. arXiv cs.AI TIER_1 English(EN) · Senjuti Basu Roy ·

    ASMR: Agentic Schema Generation for Ship Maintenance Report Writing

    In this paper, we study the automatic schema generation problem: given a collection of historical ship maintenance and operational reports across multiple form categories, automatically discover compact and informative schemas that capture the essential information requirements o…