Papers by Georgios Katsimpras
Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization (2022.acl-long)
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| Challenge: | Clinical trials are a key tool for assessing the effectiveness of health interventions. |
| Approach: | They propose a method to generate informative summaries from PubMed articles . they use the extracted summary to train a BERT-based classifier to predict effectiveness . |
| Outcome: | The proposed method generates informative summaries from multiple documents and trains a classifier based on the summary extracted from the abstracts to predict the effectiveness of the intervention. |
GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation (2024.emnlp-main)
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| Challenge: | Large Language Models (LLMs) have been shown to perform zero-shot document retrieval, a process that typically consists of two steps: retrieving relevant documents, and re-ranking them based on their relevance to the query. |
| Approach: | They propose a new approach to zero-shot document retrieval that incorporates rank aggregation to improve retrieval effectiveness. |
| Outcome: | The proposed approach improves existing methods on benchmark datasets and shows that it can perform zero-shot retrieval. |