A great novelist can give your imagination a workout, developing skills you can apply to real situations. The work lies in ...
The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.
Abstract: Multi-label text classification (MLTC) presents significant challenges due to the need for accurate document representations and the effective modeling of complex label dependencies.
ABSTRACT: The quantification and evaluation of ecosystem services represent key drivers for the sustainable development of human activities, particularly within the framework of natural capital ...
Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...
Augmenting clinician workflow to enable delivery of guideline concordant cancer care with an LLM-based system. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...
Service-based organizations may handle thousands of customer emails daily, placing a significant burden on IT help desks, customer service organizations, and other departments involved in reading, ...
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