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Transferable and Efficient Non-Factual Content Detection via Probe
  Training with Offline Consistency Checking

Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking

10 April 2024
Xiaokang Zhang
Zijun Yao
Jing Zhang
Kaifeng Yun
Jifan Yu
Juan-Zi Li
Jie Tang
    HILM
ArXivPDFHTML

Papers citing "Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking"

5 / 5 papers shown
Title
On the Calibration of Large Language Models and Alignment
On the Calibration of Large Language Models and Alignment
Chiwei Zhu
Benfeng Xu
Quan Wang
Yongdong Zhang
Zhendong Mao
61
32
0
22 Nov 2023
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng-Long Jiang
RALM
AIMat
215
318
0
21 Sep 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
221
402
0
24 Feb 2021
Measuring and Improving Consistency in Pretrained Language Models
Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar
Nora Kassner
Shauli Ravfogel
Abhilasha Ravichander
Eduard H. Hovy
Hinrich Schütze
Yoav Goldberg
HILM
258
343
0
01 Feb 2021
1