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cs.CL2026
Less is More: Quality-Aware Training Data Selection for Scientific Summarization
Maria Nefeli Paraskevopoulou, Tatiana Passali, Grigorios Tsoumakas
Scientific long-document summarization datasets commonly treat author-written abstracts as gold reference summaries, although their quality and alignment with the source article va…
cs.CL2022★ 1 cited
An Attention Matrix for Every Decision: Faithfulness-based Arbitration Among Multiple Attention-Based Interpretations of Transformers in Text Classification
Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
Transformers are widely used in natural language processing, where they consistently achieve state-of-the-art performance. This is mainly due to their attention-based architecture,…