1 citations · 2 across the 4 of their papers we have counts for
4 papers
MARS: toward more efficient multi-agent collaboration for LLM reasoning
Xiao Wang, Jia Wang, Yijie Wang +3
Large language models (LLMs) have achieved impressive results in natural language understanding, yet their reasoning capabilities remain limited when operating as single agents. Mu…
A Foundational Multi-Modal Model for Few-Shot Learning
Pengtao Dang, Tingbo Guo, Sha Cao +1
Few-shot learning (FSL) is a machine learning paradigm that aims to generalize models from a small number of labeled examples, typically fewer than 10 per class. FSL is particularl…
Physics Informed Constrained Learning of Dynamics from Static Data
Pengtao Dang, Tingbo Guo, Melissa Fishel +4
A physics-informed neural network (PINN) models the dynamics of a system by integrating the governing physical laws into the architecture of a neural network. By enforcing physical…
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence
Wennan Chang, Pengtao Dang, Changlin Wan +7
In this paper, we propose a Spatial Robust Mixture Regression model to investigate the relationship between a response variable and a set of explanatory variables over the spatial…