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RunxinXu/README.md

Hi there 👋

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.

Profile Summary

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Pinned

  1. GIT GIT Public

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

    Python 102 26

  2. ChildTuning ChildTuning Public

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

    Python 56 5

  3. DreamInvoker/GAIN DreamInvoker/GAIN Public

    Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction

    Python 141 30

  4. Make-Information-Extraction-Great-Again Make-Information-Extraction-Great-Again Public

    An (incomplete) overview of information extraction

    38

  5. ContrastivePruning ContrastivePruning Public

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

    Python 23 8

  6. TSAR TSAR Public

    Source code for "A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction" @ NAACL 2022

    Python 35 7