Name: Xiaoshi Zhong
Type: User
Company: Beijing Institute of Technology
Bio: Assistant Professor at Beijing Institute of Technology, China. My research focuses on network science, natural language processing, and large language models.
Location: China
Blog: https://xszhong.github.io
Xiaoshi Zhong's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
TensorFlow code and pre-trained models for BERT
北京理工大学学硕士/博士学位毕业论文LaTeX模板(LaTeX Template for BIT thesis)
📖 北京理工大学非官方 LaTeX 模板集合,包含本科毕业设计模板及更多。🎉
ChatLaw:A Powerful LLM Tailored for Chinese Legal. 中文法律大模型
Stanford CoreNLP: A Java suite of core NLP tools.
GHOSTS dataset
This repo contains the codes and datasets of our work: Prompting Large Language Models for Few-Shot Named Entity Recognition
Java interface for CRFsuite: http://www.chokkan.org/software/crfsuite/
Learning to Program with Natural Language
Source code and some more results (coming soon) of our WWW2022 paper: Is Least-Squares Inaccurate in Fitting Power-Law Distributions
The MATH Dataset (NeurIPS 2021)
The Missing Semester of Your CS Education 📚
Codes and datasets of our Knowledge-Based Systems paper: Marshall-Olkin Power-Law Distributions in Length-Frequency of Entities
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Official Stanford NLP Python Library for Many Human Languages
The Java source code and datasets of our ACL2017 paper: Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules
Evaluation toolkit for evaluating temporal information. Evaluated TempEval-3 participants using this script.
Temporal Information Extraction targeted against SemEval-2010
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
The Java source code and datasets of our WWW2018 paper: Time Expression Recognition Using a Constituent-based Tagging Scheme.
The html code and materials of Xiaoshi's profile: xszhong.github.io