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

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University of New South Wales, Australia ^{[1
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arXiv |

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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 43 条

[1] In-context learning enables multimodal large language models to classify cancer pathology images
Dyke Ferber
Georg Wölflein
Isabella C. Wiest
Marta Ligero
Srividhya Sainath
Narmin Ghaffari Laleh
Omar S. M. El Nahhas
Gustav Müller-Franzes
Dirk Jäger
Daniel Truhn
Jakob Nikolas Kather
Nature Communications, 15 (1)
[2] 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
[3] 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,
[4] 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)
[5] Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
Wang, Xinyi
Zhu, Wanrong
Saxon, Michael
Steyvers, Mark
Wang, William Yang
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
[6] From System Models to Class Models: An In-Context Learning Paradigm
Forgione, Marco
Pura, Filippo
Piga, Dario
IEEE CONTROL SYSTEMS LETTERS, 2023, 7 : 3513 - 3518
[7] Query-focused Submodular Demonstration Selection for In-context Learning in Large Language Models
Trust, Paul
Minghim, Rosane
2023 31ST IRISH CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE, AICS, 2023,
[8] Automatic smart contract comment generation via large language models and in-context learning
Zhao, Junjie
Chen, Xiang
Yang, Guang
Shen, Yiheng
INFORMATION AND SOFTWARE TECHNOLOGY, 2024, 168
[9] Structured State Space Models for In-Context Reinforcement Learning
Lu, Chris
Schroecker, Yannick
Gu, Albert
Parisotto, Emilio
Foerster, Jakob
Singh, Satinder
Behbahani, Feryal
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
[10] In-Context Impersonation Reveals Large Language Models' Strengths and Biases
Salewski, Leonard
Alaniz, Stephan
Rio-Torto, Isabel
Schulz, Eric
Akata, Zeynep
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,

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