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VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning

VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning

19 March 2024
Yongshuo Zong
Ondrej Bohdal
Timothy M. Hospedales
ArXivPDFHTML

Papers citing "VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning"

5 / 5 papers shown
Title
FlowLearn: Evaluating Large Vision-Language Models on Flowchart
  Understanding
FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding
Huitong Pan
Qi Zhang
Cornelia Caragea
Eduard Constantin Dragut
Longin Jan Latecki
30
3
0
06 Jul 2024
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
Nan Xu
Fei Wang
Sheng Zhang
Hoifung Poon
Muhao Chen
32
6
0
01 Jul 2024
Learn to Explain: Multimodal Reasoning via Thought Chains for Science
  Question Answering
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu
Swaroop Mishra
Tony Xia
Liang Qiu
Kai-Wei Chang
Song-Chun Zhu
Oyvind Tafjord
Peter Clark
A. Kalyan
ELM
ReLM
LRM
198
1,089
0
20 Sep 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
234
690
0
27 Aug 2021
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