runxinxu's Projects
北京大学疫情出入校自动填报
Must-read papers on improving efficiency for pre-trained language models.
北京 青年大学习 使用Github Actions自动完成
BERT-related papers
Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》
CL homework.
CL homework.
Source code for our AAAI'22 paper 《From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression》
NAACL 2019 paper: Density Matching for Bilingual Word Embedding (Zhou et al., 2019)
Multi-GPUs data parallel training support on DGL with PyTorch backend
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Source code for ACL-IJCNLP 2021 Long paper: Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.
code for "A Double-Graph Based Framework for Frame Semantic Parsing"
Code for the paper Fine-Tuning Language Models from Human Preferences
An (incomplete) overview of information extraction
Crawl the popular jars and their usage information in https://mvnrepository.com/
An advanced network packet sniffer implemented by python2.7 with lib Scapy and PyQt4.
自动申请园区往返
All Algorithms implemented in Python
A quickstart and benchmark for pytorch distributed training.
Sequence to Sequence Models with PyTorch
EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings
微博热点事件追踪溯源课题