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Found 3 papers, 2 papers with code
History Matters: Temporal Knowledge Editing in Large Language Model
The imperative task of revising or updating the knowledge stored within large language models arises from two distinct sources: intrinsic errors inherent in the model which should be corrected and outdated knowledge due to external shifts in the real world which should be updated.
ArcMMLU: A Library and Information Science Benchmark for Large Language Models
In response to this need, this paper introduces ArcMMLU, a specialized benchmark tailored for the Library & Information Science (LIS) domain in Chinese.
Kernel based regression with robust loss function via iteratively reweighted least squares
Least squares kernel based methods have been widely used in regression problems due to the simple implementation and good generalization performance.
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