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RunxinXu

This is Runxin Xu [google scholar].

Currently I am a third-year Master's student at Peking University under the supervision of Prof. Baobao Chang [google scholar].

My research interests mainly lie in natural language processing, especially 1) document-level and few-shot information extraction, and 2) effective and efficient pre-trained language model.

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runxinxu's Projects

childtuning icon childtuning

Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》

contrastivepruning icon contrastivepruning

Source code for our AAAI'22 paper 《From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression》

dema-bwe icon dema-bwe

NAACL 2019 paper: Density Matching for Bilingual Word Embedding (Zhou et al., 2019)

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

git icon git

Source code for ACL-IJCNLP 2021 Long paper: Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.

kid icon kid

code for "A Double-Graph Based Framework for Frame Semantic Parsing"

netscope icon netscope

An advanced network packet sniffer implemented by python2.7 with lib Scapy and PyQt4.

python icon python

All Algorithms implemented in Python

simcse icon simcse

EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings

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