Generative Language Models Literature

This repository is maintained by Kang Jingqi. You can directly use our bibtex.bib in overleaf with this link.

This page categorizes the literature by the Published Venue.

Outline

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Hyperlink

• [Overview] -- Homepage
• [NLP] [CV] -- Summary
• [NLP] [CV] -- Application
• [NLP] [CV] -- Approach
• [NLP] [CV] -- Author
• [NLP] [CV] -- Backbone Model
• [NLP] [CV] -- Contribution
• [NLP] [CV] -- Dataset
• [NLP] [CV] -- Metrics
• [NLP] [CV] -- Research Questions
• [NLP] [CV] -- Setting
• [NLP] [CV] -- Learning Paradigm
• [NLP] [CV] -- Published Time
• [NLP] [CV] -- Published Venue

ACL

• DeepStruct: Pretraining of Language Models for Structure Prediction ,
  by Wang, Chenguang and Liu, Xiao and Chen, Zui and Hong, Haoyun and Tang, Jie and Song, Dawn [bib]
  
  

  Deepstruct2022

• Unified Structure Generation for Universal Information Extraction ,
  by Lu, Yaojie and Liu, Qing and Dai, Dai and Xiao, Xinyan and Lin, Hongyu and Han, Xianpei and Sun, Le and Wu, Hua [bib]
  
  

  UIE2022

ICLR

• Structured Prediction as Translation between Augmented Natural Languages ,
  by Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, RISHITA ANUBHAI, Cicero Nogueira dos Santos, Bing Xiang and Stefano Soatto [bib]
  
  

  TANL2021

AAAI

• Universal Information Extraction as Unified Semantic Matching ,
  by Jie Lou, Yaojie Lu, Dai Dai, Wei Jia, Hongyu Lin, Xianpei Han, Le Sun and Hua Wu [bib]
  
  

  USM2023

arXiv

• A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks ,
  by Kan, Zhigang, Feng, Linhui, Yin, Zhangyue, Qiao, Linbo, Qiu, Xipeng and Li, Dongsheng [bib]
  
  

  CPGF2022