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Pretraining with Artificial Language: Studying Transferable Knowledge in
  Language Models

Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models

19 March 2022
Ryokan Ri
Yoshimasa Tsuruoka
ArXivPDFHTML

Papers citing "Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models"

22 / 22 papers shown
Title
Can Language Models Induce Grammatical Knowledge from Indirect Evidence?
Can Language Models Induce Grammatical Knowledge from Indirect Evidence?
Miyu Oba
Yohei Oseki
Akiyo Fukatsu
Akari Haga
Hiroki Ouchi
Taro Watanabe
Saku Sugawara
24
1
0
08 Oct 2024
Measuring Cross-lingual Transfer in Bytes
Measuring Cross-lingual Transfer in Bytes
Leandro Rodrigues de Souza
Thales Sales Almeida
R.A. Lotufo
Rodrigo Nogueira
CLL
19
3
0
12 Apr 2024
Multimodal Attention Merging for Improved Speech Recognition and Audio
  Event Classification
Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification
Anirudh S. Sundar
Chao-Han Huck Yang
David M. Chan
Shalini Ghosh
Venkatesh Ravichandran
P. S. Nidadavolu
MoMe
28
8
0
22 Dec 2023
Understanding the Role of Input Token Characters in Language Models: How
  Does Information Loss Affect Performance?
Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?
Ahmed Alajrami
Katerina Margatina
Nikolaos Aletras
AAML
11
1
0
26 Oct 2023
Pre-training with Synthetic Data Helps Offline Reinforcement Learning
Pre-training with Synthetic Data Helps Offline Reinforcement Learning
Zecheng Wang
Che Wang
Zixuan Dong
Keith Ross
OffRL
22
5
0
01 Oct 2023
Language Versatilists vs. Specialists: An Empirical Revisiting on
  Multilingual Transfer Ability
Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability
Jiacheng Ye
Xijia Tao
Lingpeng Kong
LRM
22
22
0
11 Jun 2023
Second Language Acquisition of Neural Language Models
Second Language Acquisition of Neural Language Models
Miyu Oba
Tatsuki Kuribayashi
Hiroki Ouchi
Taro Watanabe
13
3
0
05 Jun 2023
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
Fuzhao Xue
Yao Fu
Wangchunshu Zhou
Zangwei Zheng
Yang You
79
74
0
22 May 2023
Gloss-Free End-to-End Sign Language Translation
Gloss-Free End-to-End Sign Language Translation
Kezhou Lin
Xiaohan Wang
Linchao Zhu
Ke Sun
Bang Zhang
Yezhou Yang
SLR
17
17
0
22 May 2023
Injecting structural hints: Using language models to study inductive
  biases in language learning
Injecting structural hints: Using language models to study inductive biases in language learning
Isabel Papadimitriou
Dan Jurafsky
14
12
0
25 Apr 2023
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
Shengnan An
Zeqi Lin
B. Chen
Qiang Fu
Nanning Zheng
Jian-Guang Lou
23
4
0
23 Feb 2023
A Survey of Deep Learning for Mathematical Reasoning
A Survey of Deep Learning for Mathematical Reasoning
Pan Lu
Liang Qiu
Wenhao Yu
Sean Welleck
Kai-Wei Chang
ReLM
LRM
32
137
0
20 Dec 2022
On the Effect of Pre-training for Transformer in Different Modality on
  Offline Reinforcement Learning
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning
S. Takagi
OffRL
8
7
0
17 Nov 2022
Intermediate Fine-Tuning Using Imperfect Synthetic Speech for Improving
  Electrolaryngeal Speech Recognition
Intermediate Fine-Tuning Using Imperfect Synthetic Speech for Improving Electrolaryngeal Speech Recognition
Lester Phillip Violeta
D. Ma
Wen-Chin Huang
T. Toda
11
7
0
02 Nov 2022
Robustness of Demonstration-based Learning Under Limited Data Scenario
Robustness of Demonstration-based Learning Under Limited Data Scenario
Hongxin Zhang
Yanzhe Zhang
Ruiyi Zhang
Diyi Yang
27
13
0
19 Oct 2022
MonoByte: A Pool of Monolingual Byte-level Language Models
MonoByte: A Pool of Monolingual Byte-level Language Models
Hugo Queiroz Abonizio
Leandro Rodrigues de Souza
R. Lotufo
Rodrigo Nogueira
23
1
0
22 Sep 2022
Insights into Pre-training via Simpler Synthetic Tasks
Insights into Pre-training via Simpler Synthetic Tasks
Yuhuai Wu
Felix Li
Percy Liang
AIMat
20
20
0
21 Jun 2022
DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken
  Question Answering
DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering
Guan-Ting Lin
Yung-Sung Chuang
Ho-Lam Chung
Shu-Wen Yang
Hsuan-Jui Chen
Shuyan Dong
Shang-Wen Li
Abdel-rahman Mohamed
Hung-yi Lee
Lin-Shan Lee
22
21
0
09 Mar 2022
Can Wikipedia Help Offline Reinforcement Learning?
Can Wikipedia Help Offline Reinforcement Learning?
Machel Reid
Yutaro Yamada
S. Gu
3DV
RALM
OffRL
127
95
0
28 Jan 2022
UnNatural Language Inference
UnNatural Language Inference
Koustuv Sinha
Prasanna Parthasarathi
Joelle Pineau
Adina Williams
203
80
0
30 Dec 2020
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
199
876
0
03 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
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