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Found 3 papers, 1 papers with code
CLUE: A Clinical Language Understanding Evaluation for LLMs
CLUE represents a step towards a standardized approach to evaluating and developing LLMs in healthcare to align future model development with the real-world needs of clinical application.
A Second Look on BASS -- Boosting Abstractive Summarization with Unified Semantic Graphs -- A Replication Study
We present a detailed replication study of the BASS framework, an abstractive summarization system based on the notion of Unified Semantic Graphs.
Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models
Our contributions are: (1) We propose a categorization scheme for factual probing methods that is based on how their inputs, outputs and the probed PLMs are adapted; (2) We provide an overview of the datasets used for factual probing; (3) We synthesize insights about knowledge retention and prompt optimization in PLMs, analyze obstacles to adopting PLMs as knowledge bases and outline directions for future work.
