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Jianfeng Gao

102 papers hereh-index 6027.7k citations144 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author40
  • last author52

Across the 94 of 102 papers where every author was matched, so the position is known.

fields
  • cs.CL61
  • cs.CV25
  • cs.LG9
  • cs.AI2
  • cs.IR2
  • cs.SE2
same name
  • Jianfeng Gao — 139 papers, h 98
  • Jianfeng Gao — 20 papers, h 13
  • Jianfeng Gao — 19 papers, h 10
  • Jianfeng Gao — 14 papers, h 17
  • Jianfeng Gao — 12 papers, h 12
  • Jianfeng Gao — 9 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedDeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

399 citations · 3k across the 90 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CL2020

Evaluation of Text Generation: A Survey

Asli Celikyilmaz, Elizabeth Clark, Jianfeng Gao

The paper surveys evaluation methods of natural language generation (NLG) systems that have been developed in the last few years. We group NLG evaluation methods into three categor…

cs.CL2020

M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training

Minheng Ni, Haoyang Huang, Lin Su +6

We present M3P, a Multitask Multilingual Multimodal Pre-trained model that combines multilingual pre-training and multimodal pre-training into a unified framework via multitask pre…

cs.LG2020

Understanding the Difficulty of Training Transformers

Liyuan Liu, Xiaodong Liu, Jianfeng Gao +2

Transformers have proved effective in many NLP tasks. However, their training requires non-trivial efforts regarding designing cutting-edge optimizers and learning rate schedulers…

cs.CL2020

Deep Learning Based Text Classification: A Comprehensive Review

Shervin Minaee, Nal Kalchbrenner, Erik Cambria +3

Deep learning based models have surpassed classical machine learning based approaches in various text classification tasks, including sentiment analysis, news categorization, quest…

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