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A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In
  Zero Shot

A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot

16 May 2023
Aanisha Bhattacharya
Yaman Kumar Singla
Balaji Krishnamurthy
R. Shah
Changyou Chen
    VGen
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Papers citing "A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot"

9 / 9 papers shown
Title
Natural Language Generation from Visual Sequences: Challenges and Future Directions
Natural Language Generation from Visual Sequences: Challenges and Future Directions
Aditya K Surikuchi
Raquel Fernández
Sandro Pezzelle
EGVM
210
0
0
18 Feb 2025
CAP: Evaluation of Persuasive and Creative Image Generation
CAP: Evaluation of Persuasive and Creative Image Generation
Aysan Aghazadeh
Adriana Kovashka
EGVM
101
1
0
10 Dec 2024
Measuring and Improving Persuasiveness of Large Language Models
Measuring and Improving Persuasiveness of Large Language Models
Somesh Singh
Yaman Kumar Singla
Harini SI
Balaji Krishnamurthy
35
3
0
03 Oct 2024
POEM: Interactive Prompt Optimization for Enhancing Multimodal Reasoning
  of Large Language Models
POEM: Interactive Prompt Optimization for Enhancing Multimodal Reasoning of Large Language Models
Jianben He
Xingbo Wang
Shiyi Liu
Guande Wu
Claudio Silva
Huamin Qu
LRM
37
2
0
06 Jun 2024
A Modular Approach for Multimodal Summarization of TV Shows
A Modular Approach for Multimodal Summarization of TV Shows
Louis Mahon
Mirella Lapata
26
9
0
06 Mar 2024
Large Content And Behavior Models To Understand, Simulate, And Optimize
  Content And Behavior
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
Ashmit Khandelwal
Aditya Agrawal
Aanisha Bhattacharyya
Yaman Kumar Singla
Somesh Singh
...
Ishita Dasgupta
Stefano Petrangeli
R. Shah
Changyou Chen
Balaji Krishnamurthy
24
8
0
01 Sep 2023
Complexity-Based Prompting for Multi-Step Reasoning
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
ReLM
LRM
162
414
0
03 Oct 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
328
4,106
0
24 May 2022
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text
  Understanding
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
Hu Xu
Gargi Ghosh
Po-Yao (Bernie) Huang
Dmytro Okhonko
Armen Aghajanyan
Florian Metze
Luke Zettlemoyer
Florian Metze Luke Zettlemoyer Christoph Feichtenhofer
CLIP
VLM
259
558
0
28 Sep 2021
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