Papers by Haris Papageorgiou
Leveraging fine-tuned Large Language Models with LoRA for Effective Claim, Claimer, and Claim Object Detection (2024.eacl-long)
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| Challenge: | Existing work on identifying claims has focused on sentence level, neglecting supplementary attributes such as the claimer and claim object of the claim. |
| Approach: | They propose a novel approach to detect claims using large language models in natural language understanding and text generation. |
| Outcome: | The proposed approach transforms claim, claimer and claim object detection task into QA setting. |
BioRead: A New Dataset for Biomedical Reading Comprehension (L18-1)
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| Challenge: | BioRead is a publicly available cloze-style biomedical machine reading comprehension (MRC) dataset with 16.4 million passage-question instances. |
| Approach: | They propose to build a cloze-style biomedical machine reading comprehension (MRC) dataset with 16.4 million passage-question instances. |
| Outcome: | The proposed method outperforms baselines on bioReadLite and bioASQ, and is currently the best on BioReadLite. |