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Rephrase, Augment, Reason: Visual Grounding of Questions for
  Vision-Language Models

Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models

9 October 2023
Archiki Prasad
Elias Stengel-Eskin
Mohit Bansal
    ReLM
    LRM
ArXivPDFHTML

Papers citing "Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models"

13 / 13 papers shown
Title
Visual-O1: Understanding Ambiguous Instructions via Multi-modal
  Multi-turn Chain-of-thoughts Reasoning
Visual-O1: Understanding Ambiguous Instructions via Multi-modal Multi-turn Chain-of-thoughts Reasoning
Minheng Ni
Yutao Fan
Lei Zhang
Wangmeng Zuo
LRM
AI4CE
11
6
0
04 Oct 2024
Enhancing Large Vision Language Models with Self-Training on Image
  Comprehension
Enhancing Large Vision Language Models with Self-Training on Image Comprehension
Yihe Deng
Pan Lu
Fan Yin
Ziniu Hu
Sheng Shen
James Y. Zou
Kai-Wei Chang
Wei Wang
SyDa
VLM
LRM
31
36
0
30 May 2024
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
Rabiul Awal
Le Zhang
Aishwarya Agrawal
LRM
38
12
0
16 Jun 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
F. Khan
VPVLM
VLM
178
521
0
06 Oct 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 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
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
Zhengyuan Yang
Zhe Gan
Jianfeng Wang
Xiaowei Hu
Yumao Lu
Zicheng Liu
Lijuan Wang
161
401
0
10 Sep 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
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
882
0
18 Apr 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,296
0
17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
Reducing conversational agents' overconfidence through linguistic
  calibration
Reducing conversational agents' overconfidence through linguistic calibration
Sabrina J. Mielke
Arthur Szlam
Emily Dinan
Y-Lan Boureau
193
108
0
30 Dec 2020
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
182
1,638
0
16 Mar 2020
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