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Removing Non-Stationary Knowledge From Pre-Trained Language Models for
  Entity-Level Sentiment Classification in Finance

Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance

9 January 2023
Guijin Son
Hanwool Albert Lee
Nahyeon Kang
Moonjeong Hahm
ArXivPDFHTML

Papers citing "Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance"

4 / 4 papers shown
Title
Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment
Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment
Shuoling Liu
Gaoguo Jia
Yuhang Jiang
Liyuan Chen
Qiang Yang
AIFin
LRM
91
0
0
17 Jan 2025
Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap
Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap
Hyunwoo Ko
Guijin Son
Dasol Choi
RALM
LRM
78
7
0
05 Jan 2025
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact
  Verification Models
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models
Minwoo Lee
Seungpil Won
Juae Kim
Hwanhee Lee
Cheoneum Park
Kyomin Jung
36
29
0
30 Sep 2021
Deduplicating Training Data Makes Language Models Better
Deduplicating Training Data Makes Language Models Better
Katherine Lee
Daphne Ippolito
A. Nystrom
Chiyuan Zhang
Douglas Eck
Chris Callison-Burch
Nicholas Carlini
SyDa
240
590
0
14 Jul 2021
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