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researcher

Jie Zhou

East China Normal University

38 papers hereh-index 181.4k citations73 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author37

Across the 38 of 38 papers where every author was matched, so the position is known.

fields
  • cs.CL27
  • cs.LG4
  • cs.AI3
  • cs.CV1
  • cs.HC1
  • cs.IR1
affiliations
  • East China Normal University
same name
  • Jie Zhou — 116 papers, h 51
  • Jie Zhou — 81 papers, h 69
  • Jie Zhou — 73 papers, h 41
  • Jie Zhou — 56 papers, h 16
  • Jie Zhou — 50 papers, h 70
  • Jie Zhou — 40 papers, h 14

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedEduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

35 citations · 68 across the 37 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023

MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA

Lang Yu, Qin Chen, Jie Zhou +1

Large language models (LLMs) have shown great success in various Natural Language Processing (NLP) tasks, whist they still need updates after deployment to fix errors or keep pace…

cs.CL2023★ 2 cited

Mathematical Language Models: A Survey

Wentao Liu, Hanglei Hu, Jie Zhou +8

In recent years, there has been remarkable progress in leveraging Language Models (LMs), encompassing Pre-trained Language Models (PLMs) and Large-scale Language Models (LLMs), wit…

cs.CL2023★ 35 cited

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

Yuhao Dan, Zhikai Lei, Yiyang Gu +13

EduChat (https://www.educhat.top/) is a large-scale language model (LLM)-based chatbot system in the education domain. Its goal is to support personalized, fair, and compassionate…

cs.CL2023

Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations

Zhenxiao Cheng, Jie Zhou, Wen Wu +2

Gradient-based explanation methods play an important role in the field of interpreting complex deep neural networks for NLP models. However, the existing work has shown that the gr…

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