wutaiqiang's repositories
awesome-GNN2MLP-distillation
Learning MLPs to replace GNN
GER-WSDM2023
The code for paper “Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval” in WSDM2023
WID-NAACL2024
Code for paper: Weight-Inherited Distillation for Task-Agnostic BERT Compression
ABSA-Survey
Resources about Aspect-based Sentiment Analysis (ABSA)
Awesome-Efficient-LLM
A curated list for Efficient Large Language Models
Awesome-Graph-LLM
A collection of AWESOME things about Graph-Related LLMs.
awesome-mixture-of-experts
A collection of AWESOME things about mixture-of-experts
coreferee
Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages
Data-to-Text-Generation
Some papers and datasets about Data-To-Text Generation
DiffKD
Official implementation for paper "Knowledge Diffusion for Distillation"
distant_supervision_nlg
Code for the paper "Partially-Aligned Data-to-Text Generation with Distant Supervision" in EMNLP 2020.
GMI
Graph Representation Learning via Graphical Mutual Information Maximization
HetGT
Heterogeneous Graph Transformer for Graph-to-Sequence Learning
hku_beamer_template
hku beamer template
interview_internal_reference
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
iptv
Collection of 8000+ publicly available IPTV channels from all over the world
LLaMA-Factory
Unify Efficient Fine-Tuning of 100+ LLMs
MSKD
The code of paper ”Multi-Scale Distillation from Multiple Graph Neural Networks“.
PaddleHelix
Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
plms-graph2text
Investigating Pretrained Language Models for Graph-to-Text Generation
responsibleNLPresearch
templates and other documents regarding responsible NLP research
Robotics
Python implementations of University of Pennsylvania Robotics Specialization, and more.
tokenizations
Robust and Fast tokenizations alignment library for Rust and Python https://tamuhey.github.io/tokenizations/