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

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

20 May 2024

Liming Zhu

Salman Khan

Xin Gao

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

8 / 8 papers shown

Title
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification Cristiano Patrício Isabel Rio-Torto J. S. Cardoso Luís F. Teixeira João C. Neves VLM 123 0 0 21 Jan 2025
In-Context Learning Unlocked for Diffusion Models Zhendong Wang Yifan Jiang Yadong Lu Yelong Shen Pengcheng He Weizhu Chen Zhangyang Wang Mingyuan Zhou VLM DiffM 86 68 0 01 May 2023
The Learnability of In-Context Learning Noam Wies Yoav Levine Amnon Shashua 114 89 0 14 Mar 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji Lu Zhang Jiaxiang Wu Bing Wu Long-Kai Huang ... Ping Luo Shuigeng Zhou Junzhou Huang Peilin Zhao Yatao Bian OOD 58 73 0 24 Jan 2022
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 215 196 0 21 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 1,114 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021