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Found 5 papers, 4 papers with code
DENIAHL: In-Context Features Influence LLM Needle-In-A-Haystack Abilities
The Needle-in-a-haystack (NIAH) test is a general task used to assess language models' (LMs') abilities to recall particular information from long input context.
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
Many existing evaluation benchmarks for Large Language Models (LLMs) quickly become outdated due to the emergence of new models and training data.
CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
In this work, we describe our creation of a dataset of clinical action items annotated over MIMIC-III, the largest publicly available dataset of real clinical notes.
Knowledge Base Completion for Constructing Problem-Oriented Medical Records
Both electronic health records and personal health records are typically organized by data type, with medical problems, medications, procedures, and laboratory results chronologically sorted in separate areas of the chart.
Simple Recurrent Units for Highly Parallelizable Recurrence
Common recurrent neural architectures scale poorly due to the intrinsic difficulty in parallelizing their state computations.
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