Pinned Repositories
GAIN
Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction
ChildTuning
Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》
CL-NMT
CL homework.
CLUE-NER
CL homework.
ContrastivePruning
Source code for our AAAI'22 paper 《From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression》
DGLGraphParallel
Multi-GPUs data parallel training support on DGL with PyTorch backend
GIT
Source code for ACL-IJCNLP 2021 Long paper: Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.
Make-Information-Extraction-Great-Again
An (incomplete) overview of information extraction
RunxinXu
TSAR
Source code for "A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction" @ NAACL 2022
RunxinXu's Repositories
RunxinXu/GIT
Source code for ACL-IJCNLP 2021 Long paper: Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.
RunxinXu/ChildTuning
Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》
RunxinXu/Make-Information-Extraction-Great-Again
An (incomplete) overview of information extraction
RunxinXu/TSAR
Source code for "A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction" @ NAACL 2022
RunxinXu/ContrastivePruning
Source code for our AAAI'22 paper 《From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression》
RunxinXu/RunxinXu
RunxinXu/CLUE-NER
CL homework.
RunxinXu/CL-NMT
CL homework.
RunxinXu/DGLGraphParallel
Multi-GPUs data parallel training support on DGL with PyTorch backend
RunxinXu/Maven-Index-Crawler
Crawl the popular jars and their usage information in https://mvnrepository.com/
RunxinXu/Python
All Algorithms implemented in Python
RunxinXu/AliceMind
RunxinXu/autoSubmit
北京大学疫情出入校自动填报
RunxinXu/Awesome-Efficient-PLM
Must-read papers on improving efficiency for pre-trained language models.
RunxinXu/Beijing_Daxuexi_Simple
北京 青年大学习 使用Github Actions自动完成
RunxinXu/BERT-related-papers
BERT-related papers
RunxinXu/DeMa-BWE
NAACL 2019 paper: Density Matching for Bilingual Word Embedding (Zhou et al., 2019)
RunxinXu/DreamInvoker
RunxinXu/Electron
RunxinXu/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
RunxinXu/homework-postag
RunxinXu/KID
code for "A Double-Graph Based Framework for Frame Semantic Parsing"
RunxinXu/lm-human-preferences
Code for the paper Fine-Tuning Language Models from Human Preferences
RunxinXu/PKU-SIMSO-FREE
自动申请园区往返
RunxinXu/pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
RunxinXu/RunxinXu.github.io
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
RunxinXu/SimCSE
EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings
RunxinXu/trlx
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
RunxinXu/vicuna-generation
RunxinXu/XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.