Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain

1 code implementation • 9 Oct 2023 • Junru Zhang, Lang Feng, Yang He, Yuhan Wu, Yabo Dong

While one-dimensional convolutional neural networks (1D-CNNs) have been empirically proven effective in time series classification tasks, we find that there remain undesirable outcomes that could arise in their application, motivating us to further investigate and understand their underlying mechanisms.

Time Series Time Series Classification

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

1 code implementation • 1 Oct 2023 • Zekun Moore Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Stephen W. Huang, Jie Fu, Junran Peng

The advent of Large Language Models (LLMs) has paved the way for complex tasks such as role-playing, which enhances user interactions by enabling models to imitate various characters.

Benchmarking GPT-4

Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs

no code implementations • 17 Jun 2023 • Yuhan Wu, Yuanyuan Xu, Wenjie Zhang, Xiwei Xu, Ying Zhang

Research along this line suggests that using multi-modal distribution to represent answer entities is more suitable than uni-modal distribution, as a single query may contain multiple disjoint answer subsets due to the compositional nature of multi-hop queries and the varying latent semantics of relations.

Knowledge Graphs

DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis

1 code implementation • 10 Nov 2022 • Bobo Li, Hao Fei, Fei Li, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Donghong Ji

The rapid development of aspect-based sentiment analysis (ABSA) within recent decades shows great potential for real-world society.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2

Optimal configuration of cooperative stationary and mobile energy storage considering ambient temperature: A case for Winter Olympic Game

no code implementations • 20 Feb 2022 • He Meng, Hongjie Jia, Tao Xu, Wei Wei, Yuhan Wu, Lemeng Liang, Shuqi Cai, Zuozheng Liu, Rujing Wang

The international mega-event, such as the Winter Olympic Game, has been considered as one of the most carbon intensive activities worldwide.