Technology
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
Despite these successes, the highly technical nature of financial texts requires domain-specific LLMs to understand complex financial language and concepts effectively.
Multi-objects Generation with Amortized Structural Regularization
Taufik Xu, Chongxuan LI, Jun Zhu, Bo Zhang
Neural Information Processing Systems http://nips.cc/
Learning Libraries of Subroutines for NeurallyโGuided Bayesian Program Induction
Kevin Ellis, Lucas Morales, Mathias Sablรฉ-Meyer, Armando Solar-Lezama, Josh Tenenbaum
Neural Information Processing Systems http://nips.cc/
PCA of high dimensional random walks with comparison to neural network training
Joseph Antognini, Jascha Sohl-Dickstein
Neural Information Processing Systems http://nips.cc/
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
Zhiqi Bu, Jason Klusowski, Cynthia Rush, Weijie Su
The regularizer P ฮปi|b|(i) is a sorted `1-norm (denoted asJฮป(b) henceforth), which isnon-separabledue to the sorting operation involved in its calculation.
Better Exploration with Optimistic Actor Critic
Kamil Ciosek, Quan Vuong, Robert Loftin, Katja Hofmann
Actor-critic methods, a type of model-free Reinforcement Learning, have beensuccessfully applied to challenging tasks in continuous control, often achievingstate-of-the artperformance.
Iterative Value-Aware Model Learning
Neural Information Processing Systems http://nips.cc/
GroundedAnswersforMulti-agentDecision-making ProblemthroughGenerativeWorldModel
Theempirical results demonstrate that this framework can improve the answers for multi-agent decision-making problems by showing superior performance on the training and unseen tasks of the StarCraft Multi-Agent Challenge benchmark.