Evidence record 5367 · automatically gathered

OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models

The vast and underexplored ocean plays a critical role in regulating global climate and supporting marine biodiversity, yet artificial intelligence has so far delivered limited impact in this domain due to a fundamental data bottleneck. Specifically, ocean data are highly fragmented across disparate sources and inherently exhibit multi-modal, high-noise, and weakly labeled characteristics, lacking unified schemas and semantic alignment. Although Multimodal Large Language Models (MLLMs) have achi

Record details

Published: 25 April 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Regulation · Safety & alignment · Environment
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (25 April 2026), “OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models,” evidence record 5367, https://ethics.ai/record/5367 (originally published by arXiv).

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