Deep Learning
Large Language Models ' Expert-level Global History Knowledge Benchmark (HiST-LLM)
Neolithic period to the Industrial Revolution and includes information reviewed and assembled by history experts and graduate research assistants.
LocalSignalAdaptivity: ProvableFeatureLearning inNeuralNetworksBeyondKernels
Specifically,we prove that, forasimple data distribution with sparsesignal amidst high-variance noise, a simple convolutional neural network trained using stochastic gradient descent simultaneously learnstothreshold outthenoiseandfindthesignal.
Grounding Neural Inference with Satisfiability Modulo Theories
For example, a prediction market on whether GPT -4 will be able to consistently solve "easy" Sudoku puzzles from the LA Times has remained open for several months at the time of
Attacks on Online Learners: a Teacher-Student Analysis
Machine learning models are famously vulnerable to adversarial attacks: small ad-hoc perturbations of the data that can catastrophically alter the model predictions.
