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Alison Callahan

2 accepted papers

2024

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

AAAI 2024technical

The ability of large language models (LLMs) to follow natural language instructions with human-level fluency suggests many opportunities in healthcare to reduce administrative burden and improve quality of care. However, evaluating LLMs on realistic text generation tasks for healthcare remains chall…

Cited by 67SourcePDFScholar
2022

BigBio: A Framework for Data-Centric Biomedical Natural Language Processing

NeurIPS 2022accept

Training and evaluating language models increasingly requires the construction of meta-datasets -- diverse collections of curated data with clear provenance. Natural language prompting has recently lead to improved zero-shot generalization by transforming existing, supervised datasets into a variety…