Asia
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering
Retrieval (DPR) and then uses them to answer questions.
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.
CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts Fenggen Y u
Constructive solid geometry (CSG) is a classical CAD representation; it models a 3D shape as a recursive assembly of solid primitives, e.g., cuboids, cylinders, etc., through Boolean operations
fe74074593f21197b7b7be3c08678616-Paper.pdf
However, experiments in this paper show that QE systems may disagree with deductivereasoning on answers that do not require generalization or relaxation.
AcceleratedProjectedGradientAlgorithmsfor SparsityConstrainedOptimizationProblems
A classical problem that fits in the framework of (1) is the best subset selection problem in linear regression [6,20].
ProvablyEfficientExplorationforReinforcement LearningUsingUnsupervisedLearning
Insomework,functionapproximation scheme is adopted such that essential quantities for policy improvement, e.g.
VariationalInteractionInformationMaximization forCross-domainDisentanglement
A typical way to learn a latent variable model is maximizing the marginal likelihood [21].