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Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge
  of Pre-trained Language Models

Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models

15 October 2021
Zaiqiao Meng
Fangyu Liu
Ehsan Shareghi
Yixuan Su
Charlotte Collins
Nigel Collier
ArXivPDFHTML

Papers citing "Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models"

13 / 13 papers shown
Title
Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
Garima Agrawal
Tharindu Kumarage
Zeyad Alghami
Huanmin Liu
37
81
0
14 Nov 2023
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large
  Language Models
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models
Yuyang Bai
Shangbin Feng
Vidhisha Balachandran
Zhaoxuan Tan
Shiqi Lou
Tianxing He
Yulia Tsvetkov
ELM
40
2
0
15 Oct 2023
Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt
Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt
Zhichao Yang
Sunjae Kwon
Zonghai Yao
Hongfeng Yu
26
17
0
24 Nov 2022
Context Variance Evaluation of Pretrained Language Models for
  Prompt-based Biomedical Knowledge Probing
Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing
Zonghai Yao
Yi Cao
Zhichao Yang
Hong-ye Yu
19
17
0
18 Nov 2022
Contrastive Search Is What You Need For Neural Text Generation
Contrastive Search Is What You Need For Neural Text Generation
Yixuan Su
Nigel Collier
25
50
0
25 Oct 2022
CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text
  Generation Models
CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models
Steven Y. Feng
Vivek Khetan
Bogdan Sacaleanu
A. Gershman
Eduard H. Hovy
LRM
35
10
0
09 Oct 2022
Prompting as Probing: Using Language Models for Knowledge Base
  Construction
Prompting as Probing: Using Language Models for Knowledge Base Construction
Dimitrios Alivanistos
Selene Báez Santamaría
Michael Cochez
Jan-Christoph Kalo
Emile van Krieken
Thiviyan Thanapalasingam
KELM
25
45
0
23 Aug 2022
Language Models Can See: Plugging Visual Controls in Text Generation
Language Models Can See: Plugging Visual Controls in Text Generation
Yixuan Su
Tian Lan
Yahui Liu
Fangyu Liu
Dani Yogatama
Yan Wang
Lingpeng Kong
Nigel Collier
VLM
MLLM
46
97
0
05 May 2022
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
Yixuan Su
Fangyu Liu
Zaiqiao Meng
Tian Lan
Lei Shu
Ehsan Shareghi
Nigel Collier
139
57
0
07 Nov 2021
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained
  Language Models
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models
Qianchu Liu
Fangyu Liu
Nigel Collier
Anna Korhonen
Ivan Vulić
139
21
0
19 Sep 2021
Can Language Models be Biomedical Knowledge Bases?
Can Language Models be Biomedical Knowledge Bases?
Mujeen Sung
Jinhyuk Lee
Sean S. Yi
Minji Jeon
Sungdong Kim
Jaewoo Kang
AI4MH
123
105
0
15 Sep 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
243
1,924
0
31 Dec 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
419
2,588
0
03 Sep 2019
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