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. 2405.15574
  4. Cited By
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision
  Models

Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

24 May 2024
Byung-Kwan Lee
Chae Won Kim
Beomchan Park
Yonghyun Ro
    MLLM
    LRM
ArXivPDFHTML

Papers citing "Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models"

17 / 17 papers shown
Title
BIMBA: Selective-Scan Compression for Long-Range Video Question Answering
Md. Mohaiminul Islam
Tushar Nagarajan
Huiyu Wang
Gedas Bertasius
Lorenzo Torresani
48
0
0
12 Mar 2025
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
Seokil Ham
H. Kim
Sangmin Woo
Changick Kim
Mamba
83
0
0
21 Nov 2024
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
Kai Chen
Yunhao Gou
Runhui Huang
Zhili Liu
Daxin Tan
...
Qun Liu
Jun Yao
Lu Hou
Hang Xu
Hang Xu
AuLLM
MLLM
VLM
48
21
0
26 Sep 2024
MoAI: Mixture of All Intelligence for Large Language and Vision Models
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Byung-Kwan Lee
Beomchan Park
Chae Won Kim
Yonghyun Ro
MLLM
VLM
32
9
0
12 Mar 2024
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
Chris Liu
Renrui Zhang
Longtian Qiu
Siyuan Huang
Weifeng Lin
...
Hao Shao
Pan Lu
Hongsheng Li
Yu Qiao
Peng Gao
MLLM
116
106
0
08 Feb 2024
InternVL: Scaling up Vision Foundation Models and Aligning for Generic
  Visual-Linguistic Tasks
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
Zhe Chen
Jiannan Wu
Wenhai Wang
Weijie Su
Guo Chen
...
Bin Li
Ping Luo
Tong Lu
Yu Qiao
Jifeng Dai
VLM
MLLM
126
895
0
21 Dec 2023
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with
  Modality Collaboration
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
Qinghao Ye
Haiyang Xu
Jiabo Ye
Mingshi Yan
Anwen Hu
Haowei Liu
Qi Qian
Ji Zhang
Fei Huang
Jingren Zhou
MLLM
VLM
114
367
0
07 Nov 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
198
283
0
03 May 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation
SCOTT: Self-Consistent Chain-of-Thought Distillation
Jamie Yap
Zhengyang Wang
Zheng Li
K. Lynch
Bing Yin
Xiang Ren
LRM
51
91
0
03 May 2023
mPLUG-Owl: Modularization Empowers Large Language Models with
  Multimodality
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Qinghao Ye
Haiyang Xu
Guohai Xu
Jiabo Ye
Ming Yan
...
Junfeng Tian
Qiang Qi
Ji Zhang
Feiyan Huang
Jingren Zhou
VLM
MLLM
198
883
0
27 Apr 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
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
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
313
8,261
0
28 Jan 2022
Scale Efficiently: Insights from Pre-training and Fine-tuning
  Transformers
Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers
Yi Tay
Mostafa Dehghani
J. Rao
W. Fedus
Samira Abnar
Hyung Won Chung
Sharan Narang
Dani Yogatama
Ashish Vaswani
Donald Metzler
181
89
0
22 Sep 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize
  Long-Tail Visual Concepts
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Soravit Changpinyo
P. Sharma
Nan Ding
Radu Soricut
VLM
273
845
0
17 Feb 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
3,054
0
23 Jan 2020
1