Ganqu Cui | DeepAI

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Featured Co-authors

Jie Zhou
349 publications
Zhiyuan Liu
209 publications
Maosong Sun
159 publications
Heng Ji
126 publications
Xu Han
93 publications
Bo Yuan
72 publications
Cheng Yang
59 publications
Yankai Lin
59 publications
Zhen Zhang
59 publications
Bowen Li
57 publications
Lei Xu
53 publications

∙ 06/07/2023

Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations

This paper reexamines the research on out-of-distribution (OOD) robustne...

0 Lifan Yuan, et al. ∙

∙ 05/29/2023

From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework

Textual adversarial attacks can discover models' weaknesses by adding se...

0 Yangyi Chen, et al. ∙

∙ 04/17/2023

Tool Learning with Foundation Models

Humans possess an extraordinary ability to create and utilize tools, all...

1 Yujia Qin, et al. ∙

∙ 12/16/2022

Decoder Tuning: Efficient Language Understanding as Decoding

With the evergrowing sizes of pre-trained models (PTMs), it has been an ...

0 Ganqu Cui, et al. ∙

∙ 11/10/2022

Few-shot Classification with Hypersphere Modeling of Prototypes

Metric-based meta-learning is one of the de facto standards in few-shot ...

0 Ning Ding, et al. ∙

∙ 10/31/2022

A Close Look into the Calibration of Pre-trained Language Models

Pre-trained language models (PLMs) achieve remarkable performance on man...

0 Yangyi Chen, et al. ∙

∙ 10/19/2022

Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP

Textual adversarial samples play important roles in multiple subfields o...

0 Yangyi Chen, et al. ∙

∙ 06/17/2022

A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks

Textual backdoor attacks are a kind of practical threat to NLP systems. ...

0 Ganqu Cui, et al. ∙

∙ 04/11/2022

Exploring the Universal Vulnerability of Prompt-based Learning Paradigm

Prompt-based learning paradigm bridges the gap between pre-training and ...

0 Lei Xu, et al. ∙

∙ 03/18/2022

Prototypical Verbalizer for Prompt-based Few-shot Tuning

Prompt-based tuning for pre-trained language models (PLMs) has shown its...

2 Ganqu Cui, et al. ∙

∙ 06/15/2021

Evaluating Modules in Graph Contrastive Learning

The recent emergence of contrastive learning approaches facilitates the ...

16 Ganqu Cui, et al. ∙

∙ 07/03/2020

Adaptive Graph Encoder for Attributed Graph Embedding

Attributed graph embedding, which learns vector representations from gra...

0 Ganqu Cui, et al. ∙

∙ 12/20/2018

Graph Neural Networks: A Review of Methods and Applications

Lots of learning tasks require dealing with graph data which contains ri...

62 Jie Zhou, et al. ∙

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