1 citations · 1 across the 4 of their papers we have counts for
4 papers
Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text
Bushi Xiao, Sarvesh Soni, Daisy Zhe Wang
As large language models are increasingly deployed for clinical text, ensuring they can reliably signal their own uncertainty becomes critical. Most existing uncertainty quantifica…
Towards Human Cognition: Visual Context Guides Syntactic Priming in Fusion-Encoded Models
Bushi Xiao, Michael Bennie, Jayetri Bardhan +1
Structural priming is a cognitive phenomenon where exposure to a particular syntactic structure increases the likelihood of producing the same structure in subsequent utterances. W…
TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization
Jayetri Bardhan, Bushi Xiao, Daisy Zhe Wang
Question answering (QA) over tables and text has gained much popularity over the years. Multi-hop table-text QA requires multiple hops between the table and text, making it a chall…
Question Answering for Electronic Health Records: A Scoping Review of datasets and models
Jayetri Bardhan, Kirk Roberts, Daisy Zhe Wang
Question Answering (QA) systems on patient-related data can assist both clinicians and patients. They can, for example, assist clinicians in decision-making and enable patients to…