Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning

被引：0

作者：

University of New South Wales, Australia ^{[1
]}

不详 ^{[2
]}

不详 ^{[3
]}

不详 ^{[4
]}

不详 ^{[5
]}

不详 ^{[6
]}

不详 ^{[7
]}

机构：

来源：

arXiv |

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Context learning - Domain specific - Fine tuning - In contexts - Language model - Learning methods - Multimodal models - Natural distribution - Parameter spaces - Specific adaptations

引用

共 50 条

[1] In-context learning enables multimodal large language models to classify cancer pathology images
Ferber, Dyke
Woelflein, Georg
Wiest, Isabella C.
Ligero, Marta
Sainath, Srividhya
Ghaffari Laleh, Narmin
El Nahhas, Omar S. M.
Mueller-Franzes, Gustav
Jaeger, Dirk
Truhn, Daniel
Kather, Jakob Nikolas
NATURE COMMUNICATIONS, 2024, 15 (01)
[2] Active Learning Principles for In-Context Learning with Large Language Models
Margatina, Katerina
Schick, Timo
Aletras, Nikolaos
Dwivedi-Yu, Jane
FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS - EMNLP 2023, 2023, : 5011 - 5034
[3] Learning to Retrieve In-Context Examples for Large Language Models
Wang, Liang
Yang, Nan
Wei, Furu
PROCEEDINGS OF THE 18TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1: LONG PAPERS, 2024, : 1752 - 1767
[4] Adaptive In-Context Learning with Large Language Models for Bundle
Sun, Zhu
Feng, Kaidong
Yang, Jie
Qu, Xinghua
Fang, Hui
Ong, Yew-Soon
Liu, Wenyuan
PROCEEDINGS OF THE 47TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2024, 2024, : 966 - 976
[5] Visual In-Context Learning for Large Vision-Language Models
Zhou, Yucheng
Le, Xiang
Wang, Qianning
Shen, Jianbing
FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: ACL 2024, 2024, : 15890 - 15902
[6] Are Emergent Abilities in Large Language Models just In-Context Learning?
Lu, Sheng
Bigoulaeva, Irina
Sachdeva, Rachneet
Madabushi, Harish Tayyar
Gurevych, Iryna
PROCEEDINGS OF THE 62ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1: LONG PAPERS, 2024, : 5098 - 5139
[7] Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning
Alves, Duarte M.
Guerreirol, Nuno M.
Alves, Joao
Pombal, Jose
Rei, Ricardo
de Souza, Jose G. C.
Colombo, Pierre
Martins, Andre F. T.
FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (EMNLP 2023), 2023, : 11127 - 11148
[8] In-Context Learning Unlocked for Diffusion Models
Wang, Zhendong
Jiang, Yifan
Lu, Yadong
Shen, Yelong
He, Pengcheng
Chen, Weizhu
Wang, Zhangyang
Zhou, Mingyuan
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
[9] Meta In-Context Learning: Harnessing Large Language Models for Electrical Data Classification
Zhou, Mi
Li, Fusheng
Zhang, Fan
Zheng, Junhao
Ma, Qianli
ENERGIES, 2023, 16 (18)
[10] Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
Tang, Ruixiang
Kong, Dehan
Huang, Longtao
Xue, Hui
FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, ACL 2023, 2023, : 4645 - 4657

← 1 2 3 4 5 →