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Yangfeng Ji

24 papers hereh-index 11590 citations34 works total

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

author position
  • middle author9
  • last author15

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CL23
  • cs.LG1
same name
  • Yangfeng Ji — 15 papers, h 21
  • Yangfeng Ji — 6 papers, h 3
  • Yangfeng Ji — 4 papers, h 2
  • Yangfeng Ji — 3 papers, h 1
  • Yangfeng Ji — 2 papers
  • Yangfeng Ji — 2 papers, h 1

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
20202023
most citedLearning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers

5 citations · 26 across the 19 of their papers we have counts for

collaborators
Showing 2021 · cs.CLShow all

4 papers · 2 filters

cs.CL2021

Simple Text Detoxification by Identifying a Linear Toxic Subspace in Language Model Embeddings

Andrew Wang, Mohit Sudhakar, Yangfeng Ji

Large pre-trained language models are often trained on large volumes of internet data, some of which may contain toxic or abusive language. Consequently, language models encode tox…

cs.CL2021

Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing

Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon +2

Interpretability methods like Integrated Gradient and LIME are popular choices for explaining natural language model predictions with relative word importance scores. These interpr…

cs.CL2021

SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks

Wanyu Du, Yangfeng Ji

Transformer-based pre-trained language models boost the performance of open-domain dialogue systems. Prior works leverage Transformer-based pre-trained language models to generate…

cs.CL2021

Contextualizing Variation in Text Style Transfer Datasets

Stephanie Schoch, Wanyu Du, Yangfeng Ji

Text style transfer involves rewriting the content of a source sentence in a target style. Despite there being a number of style tasks with available data, there has been limited s…

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