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Argument mining as a text-to-text generation task
Argument Mining (AM) aims to uncover the argumentative structures within a text. Previous
methods require several subtasks, such as span identification, component classification, and …
methods require several subtasks, such as span identification, component classification, and …
Can we obtain significant success in RST discourse parsing by using Large Language Models?
Recently, decoder-only pre-trained large language models (LLMs), with several tens of
billion parameters, have significantly impacted a wide range of natural language processing …
billion parameters, have significantly impacted a wide range of natural language processing …
Exploring discourse structure in document-level machine translation
Neural machine translation has achieved great success in the past few years with the help of
transformer architectures and large-scale bilingual corpora. However, when the source text …
transformer architectures and large-scale bilingual corpora. However, when the source text …
First Place Solution of 2023 Global Artificial Intelligence Technology Innovation Competition Track 1
X Wu, H Zhang, Y Yang, J Lu - arxiv preprint arxiv:2407.01271, 2024 - arxiv.org
In this paper, we present our champion solution to the Global Artificial Intelligence
Technology Innovation Competition Track 1: Medical Imaging Diagnosis Report Generation …
Technology Innovation Competition Track 1: Medical Imaging Diagnosis Report Generation …