ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.11403
  4. Cited By
eP-ALM: Efficient Perceptual Augmentation of Language Models

eP-ALM: Efficient Perceptual Augmentation of Language Models

20 March 2023
Mustafa Shukor
Corentin Dancette
Matthieu Cord
    MLLM
    VLM
ArXivPDFHTML

Papers citing "eP-ALM: Efficient Perceptual Augmentation of Language Models"

16 / 16 papers shown
Title
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
Jiannan Wu
Muyan Zhong
Sen Xing
Zeqiang Lai
Zhaoyang Liu
...
Lewei Lu
Tong Lu
Ping Luo
Yu Qiao
Jifeng Dai
MLLM
VLM
LRM
99
48
0
03 Jan 2025
A Concept-Based Explainability Framework for Large Multimodal Models
A Concept-Based Explainability Framework for Large Multimodal Models
Jayneel Parekh
Pegah Khayatan
Mustafa Shukor
A. Newson
Matthieu Cord
32
16
0
12 Jun 2024
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion
  Models
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models
Barbara Toniella Corradini
Mustafa Shukor
Paul Couairon
Guillaume Couairon
Franco Scarselli
Matthieu Cord
DiffM
VLM
45
4
0
29 Mar 2024
Beyond Task Performance: Evaluating and Reducing the Flaws of Large
  Multimodal Models with In-Context Learning
Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning
Mustafa Shukor
Alexandre Ramé
Corentin Dancette
Matthieu Cord
LRM
MLLM
38
20
0
01 Oct 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Muhammad Awais
Muzammal Naseer
Salman Khan
Rao Muhammad Anwer
Hisham Cholakkal
M. Shah
Ming Yang
F. Khan
VLM
26
118
0
25 Jul 2023
Linearly Mapping from Image to Text Space
Linearly Mapping from Image to Text Space
Jack Merullo
Louis Castricato
Carsten Eickhoff
Ellie Pavlick
VLM
162
104
0
30 Sep 2022
ProgPrompt: Generating Situated Robot Task Plans using Large Language
  Models
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh
Valts Blukis
Arsalan Mousavian
Ankit Goyal
Danfei Xu
Jonathan Tremblay
D. Fox
Jesse Thomason
Animesh Garg
LM&Ro
LLMAG
120
622
0
22 Sep 2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual
  Recognition
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen
Chongjian Ge
Zhan Tong
Jiangliu Wang
Yibing Song
Jue Wang
Ping Luo
146
637
0
26 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
390
4,125
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
174
402
0
10 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,775
0
29 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,844
0
18 Apr 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
280
1,981
0
09 Feb 2021
Unifying Vision-and-Language Tasks via Text Generation
Unifying Vision-and-Language Tasks via Text Generation
Jaemin Cho
Jie Lei
Hao Tan
Mohit Bansal
MLLM
253
525
0
04 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
253
1,986
0
31 Dec 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,194
0
01 Sep 2014
1