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Silvio Amir

information extraction

robustness

fairness

large language models

relation extraction

reddit

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

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