Papers by Sameer Khanna
Exploring the Boundaries of GPT-4 in Radiology (2023.emnlp-main)
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Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya Nori, Matthew Lungren, Ozan Oktay, Javier Alvarez-Valle
| Challenge: | Recent success of general-domain large language models has changed the natural language processing paradigm towards a unified foundation model across domains and applications. |
| Approach: | They evaluate the performance of GPT-4 on a variety of radiology tasks . they find it outperforms or matches current SOTA radiology models . |
| Outcome: | The proposed model outperforms or matches current SOTA radiology models on a range of tasks. |
Conical Classification For Efficient One-Class Topic Determination (2021.findings-emnlp)
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| Challenge: | a lack of research on efficient methods for topic classification of text is limiting . conical classification is a computationally efficient way to identify documents of a particular topic . |
| Approach: | They propose a Conical classification approach that can identify if a document is of a particular topic . they propose 'normal exclusion' approach that is faster to compute and has higher predictive power . |
| Outcome: | The proposed method has higher predictive power and is faster to compute. |