Papers by Devrim Çavuşoğlu
DisGeM: Distractor Generation for Multiple Choice Questions with Span Masking (2024.findings-emnlp)
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| Challenge: | Multiple-choice cloze tests are a prevalent form of assessment that evaluates students' comprehension and inference abilities. |
| Approach: | They propose a framework for distractor generation using readily available pre-trained language models . human evaluations confirm that their approach produces more effective distractors . |
| Outcome: | The proposed framework outperforms existing methods without training or fine-tuning human evaluations confirm it. |
A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts (2024.findings-acl)
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| Challenge: | a multi-level, multi-label text classification dataset is used to classify over 3000 documents . authors use a classical bag-of-words (BoW) naive Bayes model and three modern LLMs . |
| Approach: | They propose to apply large language models to a multi-level, multi-label text classification dataset . the dataset features literary and critical texts from 19th-century Ottoman Turkish and Russian . |
| Outcome: | The proposed dataset features literary and critical texts from 19th-century Ottoman Turkish and Russian. |