Neural Information Processing Systems http://nips.cc/

Link prediction is a very fundamental task on graphs.

Socialcontext: Culture, geography, history, aswellasusers' attributes, e.g., languageor technologicalfluency.

High-quality, diverse pre-training corpora form the cornerstone for developing powerful foundation models, enabling AI assistants like ChatGPT [47] to exhibit balanced competencies across a broad spectrum of tasks [11].

By assessing human annotators as classifiers, we remove the subjective quality of existing evaluation metrics.

To solve this problem, convergent algorithms are developed with both single-loop and stochastic variants. Notably, this is the firstsingle-loop primalalgorithmforconstrained optimization toourknowledge.

A popular class of analysis methods, often called structural analysis, aims to extract this information using probing classifiers that predict linguistic properties from representations of trained models (e.g., Adi et al., 2017; Conneau et al., 2018; Hupkes et al., 2018; Tenney et al., 2019).