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RACQUET: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs

RACQUET: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs

A. Testoni
Barbara Plank
Raquel Fernández
ArXiv (abs)PDFHTML

Papers citing "RACQUET: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs"

5 / 5 papers shown
Title
Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions
Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions
A. Testoni
Raquel Fernández
50
11
0
09 Feb 2024
On Measures of Biases and Harms in NLP
On Measures of Biases and Harms in NLP
Sunipa Dev
Emily Sheng
Jieyu Zhao
Aubrie Amstutz
Jiao Sun
...
M. Sanseverino
Jiin Kim
Akihiro Nishi
Nanyun Peng
Kai-Wei Chang
70
88
0
07 Aug 2021
UnQovering Stereotyping Biases via Underspecified Questions
UnQovering Stereotyping Biases via Underspecified Questions
Tao Li
Tushar Khot
Daniel Khashabi
Ashish Sabharwal
Vivek Srikumar
71
138
0
06 Oct 2020
Why Does a Visual Question Have Different Answers?
Why Does a Visual Question Have Different Answers?
Nilavra Bhattacharya
Qing Li
Danna Gurari
52
66
0
12 Aug 2019
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
434
43,832
0
01 May 2014

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