Papers by Shadab Khan
Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency (2025.emnlp-main)
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Svetlana Maslenkova, Clement Christophe, Marco AF Pimentel, Tathagata Raha, Muhammad Umar Salman, Ahmed Al Mahrooqi, Avani Gupta, Shadab Khan, Ronnie Rajan, Praveenkumar Kanithi
| Challenge: | Current dataset curation and bias assessment practices lack transparency . current approaches lack a thorough understanding of how data characteristics influence model behavior . |
| Approach: | They propose a comprehensive bias evaluation framework that integrates general benchmarks with a healthcare-specific methodology to probe for biases in a sensitive healthcare context. |
| Outcome: | The proposed approach to bias evaluation leverages established benchmarks and a healthcare-specific methodology. |
Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs. (2024.findings-emnlp)
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Clement Christophe, Tathagata Raha, Svetlana Maslenkova, Muhammad Umar Salman, Praveenkumar Kanithi, Marco Pimentel, Shadab Khan
| Challenge: | Current approaches to adapting large language models to clinical use-cases are limited. |
| Approach: | They investigate the efficacy of four techniques in adapting large language models for clinical use-cases. |
| Outcome: | The proposed techniques show that they improve performance across clinical tasks. |