A 1.88-million-article biomedical summarization dataset is released and quality-aware selection of training data based on abstract alignment outperforms random sampling on factuality metrics.
Zero-Shot Aspect-Based Scientific Document Summarization using Self-Supervised Pre-training
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Reasoning models detect modifications to their chains of thought with only modest accuracy and cannot reliably identify the nature of those modifications.
citing papers explorer
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Less is More: Quality-Aware Training Data Selection for Scientific Summarization
A 1.88-million-article biomedical summarization dataset is released and quality-aware selection of training data based on abstract alignment outperforms random sampling on factuality metrics.
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Can Reasoning Models Detect Changes to their Chains of Thought?
Reasoning models detect modifications to their chains of thought with only modest accuracy and cannot reliably identify the nature of those modifications.