research
∙
06/19/2023
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving
Although pre-trained language models (PLMs) have recently advanced the r...
share
research
∙
06/04/2023
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
Chain-of-thought prompting (CoT) and tool augmentation have been validat...
research
∙
05/23/2023
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models
Although large language models (LLMs) have achieved excellent performanc...
research
∙
12/07/2022
TweetDrought: A Deep-Learning Drought Impacts Recognizer based on Twitter Data
Acquiring a better understanding of drought impacts becomes increasingly...
research
∙
11/26/2022
Unsupervised Wildfire Change Detection based on Contrastive Learning
The accurate characterization of the severity of the wildfire event stro...
research
∙
11/04/2022
Quantitative Assessment of Drought Impacts Using XGBoost based on the Drought Impact Reporter
Under climate change, the increasing frequency, intensity, and spatial e...
research
∙
06/13/2022
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding
This paper aims to advance the mathematical intelligence of machines by ...
research
∙
05/02/2022
Debiased Contrastive Learning of Unsupervised Sentence Representations
Recently, contrastive learning has been shown to be effective in improvi...
research
∙
03/26/2021
Rethinking Graph Neural Network Search from Message-passing
Graph neural networks (GNNs) emerged recently as a standard toolkit for ...
research
∙
04/10/2020
