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Found 4 papers, 1 papers with code
BECEL: Benchmark for Consistency Evaluation of Language Models
Behavioural consistency is a critical condition for a language model (LM) to become trustworthy like humans.
KOBEST: Korean Balanced Evaluation of Significant Tasks
To this end, we propose a new benchmark named Korean balanced evaluation of significant tasks (KoBEST), which consists of five Korean-language downstream tasks.
Understanding Dynamic Spatio-Temporal Contexts in Long Short-Term Memory for Road Traffic Speed Prediction
Reliable traffic flow prediction is crucial to creating intelligent transportation systems.
Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models
Consistency, which refers to the capability of generating the same predictions for semantically similar contexts, is a highly desirable property for a sound language understanding model.
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