Africa
NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates
Besides, as the knowledge cutoff of LLMs is constantly updated, benchmarks for real-time information will soon become outdated.
Generalization in multitask deep neural classifiers: a statistical physics approach
Neural Information Processing Systems http://nips.cc/
4eb33c53ed5b14ce9028309431f565cc-Paper-Datasets_and_Benchmarks.pdf
Does progress on ImageNet transfer to real-world datasets?
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes
Point processes are widely used statistical tools for modeling event occurrence patterns within continuous spatio-temporal domains.
Assessing Social and Intersectional Biases in Contextualized Word Representations
Socialbiasinmachine learning hasdrawnsignificant attention, withworkranging from demonstrations of bias in a multitude of applications, curating definitions of fairness for different contexts, to developing algorithms to mitigate bias. In natural language processing, gender bias has been shown to exist in context-free word embeddings. Recently, contextual word representations have outperformed word embeddings in several downstream NLP tasks.
