Search Results for author: Shilong Wang

Found 9 papers, 2 papers with code

Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence

no code implementations15 Feb 2024 Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin

Emotional Intelligence (EI), consisting of emotion perception, emotion cognition and emotion expression, plays the critical roles in improving user interaction experience for the current large language model (LLM) based conversational general AI assistants.

Emotional Intelligence Language Modelling +1

SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models

no code implementations16 Jan 2024 Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

Existing methods devise the learning module to acquire task-specific knowledge with parameter-efficient tuning (PET) block and the selection module to pick out the corresponding one for the testing input, aiming at handling the challenges of catastrophic forgetting and knowledge transfer in CL.

Continual Learning Transfer Learning

Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model

no code implementations13 Dec 2023 Hao Wu, Shilong Wang, Yuxuan Liang, Zhengyang Zhou, Wei Huang, Wei Xiong, Kun Wang

Efficiently modeling spatio-temporal (ST) physical processes and observations presents a challenging problem for the deep learning community.

An Early Evaluation of GPT-4V(ision)

1 code implementation25 Oct 2023 Yang Wu, Shilong Wang, Hao Yang, Tian Zheng, Hongbo Zhang, Yanyan Zhao, Bing Qin

In this paper, we evaluate different abilities of GPT-4V including visual understanding, language understanding, visual puzzle solving, and understanding of other modalities such as depth, thermal, video, and audio.

Math

The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field

no code implementations19 Aug 2023 Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang

Despite Graph Neural Networks demonstrating considerable promise in graph representation learning tasks, GNNs predominantly face significant issues with over-fitting and over-smoothing as they go deeper as models of computer vision realm.

Graph Representation Learning

TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition

1 code implementation5 May 2023 Weixiang Zhao, Yanyan Zhao, Shilong Wang, Bing Qin

Specifically, we construct the state transition graph with a two-step way, named transit-then-interact, to grasp such three types of turn-level transition information.

Is ChatGPT Equipped with Emotional Dialogue Capabilities?

no code implementations19 Apr 2023 Weixiang Zhao, Yanyan Zhao, Xin Lu, Shilong Wang, Yanpeng Tong, Bing Qin

This report presents a study on the emotional dialogue capability of ChatGPT, an advanced language model developed by OpenAI.

Dialogue Understanding Language Modelling

EZLDA: Efficient and Scalable LDA on GPUs

no code implementations17 Jul 2020 Shilong Wang, Hang Liu, Anil Gaihre, Hengyong Yu

LDA is a statistical approach for topic modeling with a wide range of applications.

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