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G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous
  Knowledge for Commonsense Reasoning

G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning

9 May 2024
Ruiting Dai
Yuqiao Tan
Lisi Mo
Shuang Liang
Guohao Huo
Jiayi Luo
Yao Cheng
    ReLM
    RALM
    LRM
ArXivPDFHTML

Papers citing "G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning"

5 / 5 papers shown
Title
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
322
2,249
0
02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,835
0
18 Apr 2021
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
282
1,518
0
27 Feb 2021
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
235
319
0
21 Aug 2019
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
187
576
0
02 May 2018
1