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The Trade-offs of Domain Adaptation for Neural Language Models

The Trade-offs of Domain Adaptation for Neural Language Models

21 September 2021
David Grangier
Dan Iter
ArXivPDFHTML

Papers citing "The Trade-offs of Domain Adaptation for Neural Language Models"

13 / 13 papers shown
Title
Transferable text data distillation by trajectory matching
Transferable text data distillation by trajectory matching
Rong Yao
Hailin Hu
Yifei Fu
Hanting Chen
Wenyi Fang
Fanyi Du
Kai Han
Yunhe Wang
28
0
0
14 Apr 2025
Defining and Evaluating Decision and Composite Risk in Language Models
  Applied to Natural Language Inference
Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference
Ke Shen
Mayank Kejriwal
42
0
0
04 Aug 2024
DALLMi: Domain Adaption for LLM-based Multi-label Classifier
DALLMi: Domain Adaption for LLM-based Multi-label Classifier
Miruna Betianu
Abele Malan
Marco Aldinucci
Robert Birke
Lydia Y. Chen
38
5
0
03 May 2024
A Formalism and Approach for Improving Robustness of Large Language
  Models Using Risk-Adjusted Confidence Scores
A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores
Ke Shen
Mayank Kejriwal
14
2
0
05 Oct 2023
Domain Adaptation for Arabic Machine Translation: The Case of Financial
  Texts
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts
Emad A. Alghamdi
Jezia Zakraoui
Fares A. Abanmy
29
1
0
22 Sep 2023
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain
  Adaptation in Neural Machine Translation
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation
Keyu Chen
Zhuang Di
Mingchen Li
J. M. Chang
22
3
0
06 Sep 2023
In-Context Demonstration Selection with Cross Entropy Difference
In-Context Demonstration Selection with Cross Entropy Difference
Dan Iter
Reid Pryzant
Ruochen Xu
Shuohang Wang
Yang Liu
Yichong Xu
Chenguang Zhu
23
11
0
24 May 2023
Can LMs Generalize to Future Data? An Empirical Analysis on Text
  Summarization
Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization
C. Cheang
Hou Pong Chan
Derek F. Wong
Xuebo Liu
Zhao Li
Yanming Sun
Shudong Liu
Lidia S. Chao
197
6
0
03 May 2023
On the Domain Adaptation and Generalization of Pretrained Language
  Models: A Survey
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey
Xu Guo
Han Yu
LM&MA
VLM
28
29
0
06 Nov 2022
Influence Functions for Sequence Tagging Models
Influence Functions for Sequence Tagging Models
Sarthak Jain
Varun Manjunatha
Byron C. Wallace
A. Nenkova
TDI
35
8
0
25 Oct 2022
Generalizing through Forgetting -- Domain Generalization for Symptom
  Event Extraction in Clinical Notes
Generalizing through Forgetting -- Domain Generalization for Symptom Event Extraction in Clinical Notes
Sitong Zhou
K. Lybarger
Meliha Yetisgen-Yildiz
Mari Ostendorf
37
2
0
20 Sep 2022
Domain Adaptation and Multi-Domain Adaptation for Neural Machine
  Translation: A Survey
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
Danielle Saunders
AI4CE
25
85
0
14 Apr 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,489
0
23 Jan 2020
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