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5 days ago · These findings underscore a collective move towards leveraging vision- language models for versatile applications, with potential areas for future research ...
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3 days ago · advancement in structured data extraction from text. This model aims to transform unstructured text into structured data highly efficiently. The innovative
4 days ago · ... entity blocks in the visually rich document) to relation extraction has been overlooked. In this paper, we propose REgion-Aware Relation Extraction (\bf{RE ...
2 days ago · TMLR emphasizes technical correctness over subjective significance, in order to ensure we facilitate scientific discourses on topics that are deemed less ...
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6 hours ago · In this work, we study zero-labelled cross-lingual transfer (0-CLT) to low-resource languages (LRLs) – a setting where labeled task data from one or more ...
Missing: Probabilistic Satisfaction.
3 days ago · Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection ... Learning from Unlabelled Data with ...
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7 hours ago · The limited availability of labeled training data is addressed through automatic label generation strategies. Model-agnostic methods include word alignment ...
22 hours ago · This article emphasizes the value of indoor localization data and proposes the adoption of a new virtual field known as the `Transactional Area Network' (TAN).
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2 days ago · By synthesizing a range of theoretical frameworks and application domains, this thesis aims to advance the foundations of multimodal machine learning. We start ...
2 days ago · Implementing robust data quality checks helps identify and address errors, inconsistencies, or missing values in the data that could impact the model's training ...