Papers by Nandan Sarkar
SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers (2024.emnlp-main)
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| Challenge: | SciDQA is a dataset for question-answering that challenges language models to deeply understand scientific articles. |
| Approach: | They propose a new dataset for reading comprehension that challenges language models to deeply understand scientific articles consisting of 2,937 QA pairs. |
| Outcome: | The SciDQA dataset is based on 2,937 QA pairs and decontextualizes the content, tracks the source document across different versions, and incorporates a bibliography for multi-document question-answering. |