
Silvio Amir
information extraction
robustness
fairness
large language models
relation extraction
llms
llm
health data
knowledge augmentation
biomedical ner
clinical instruction tuning
5
presentations
1
number of views
SHORT BIO
Silvio Amir is a research fellow at Northeastern University. His research develops Natural Language Processing, Machine Learning and Information Retrieval methods to process unconventional text data, such as social media and clinical notes from electronic health records.
Presentations

Open (Clinical) LLMs are Sensitive to Instruction Phrasings
Monica Munnangi and 5 other authors

On-the-fly Definition Augmentation of LLMs for Biomedical NER
Monica Munnangi and 5 other authors

Revisiting Relation Extraction in the era of Large Language Models
Somin Wadhwa and 2 other authors

RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media
Somin Wadhwa and 3 other authors

On the Impact of Random Seeds on the Fairness of Clinical Classifiers
Silvio Amir and 2 other authors