Papers by Avani Gupta

2 papers
Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency (2025.emnlp-main)

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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.
CitRet: A Hybrid Model for Cited Text Span Retrieval (2022.coling-1)

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Challenge: Current methods for citing text span retrieval (CTSR) rely on pre-trained off-the-shelf deep learning models like SciBERT.
Approach: They propose a hybrid model for cited text span retrieval that leverages unique semantic and syntactic structural characteristics of scientific documents.
Outcome: The proposed model improves state-of-the-art by 15% on the CLSciSumm shared tasks.

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