@InProceedings{liang2022metashift, title={MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts}, author={Weixin Liang and James Zou}, ...
Social media platforms are used by over 4.9 billion people for networking and community building, as well as for healthcare information seeking and decision-making. Most studies investigating the ...
Arousal is a central concept linking brain and body, often put forward to explain motivated behavior. Although the term is widely used, its definition remains elusive, with diverging views in ...
Generating random numbers is a common task in many applications, such as simulations, cryptography, games, and data analysis. NumPy is a popular library for scientific computing and data manipulation ...
Zero Context: the prompt is a factual question without any context (eg. Open QA). Noisy Context: the prompt is a question as well as a list of retrieved document (eg. RAG). Accurate Context: the ...
Most Image Aesthetic Assessment (IAA) methods use a pretrained ImageNet classification model as a base to fine-tune. We hypothesize that content classification is not an optimal pretraining task for ...
Google introduced the Knowledge Graph in 2012 to help searchers discover new information quicker. Essentially, users can search for places, people, companies, and products and find instant results ...
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