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. 2312.01571
  4. Cited By
How to Configure Good In-Context Sequence for Visual Question Answering

How to Configure Good In-Context Sequence for Visual Question Answering

4 December 2023
Li Li
Jiawei Peng
Huiyi Chen
Chongyang Gao
Xu Yang
    MLLM
ArXivPDFHTML

Papers citing "How to Configure Good In-Context Sequence for Visual Question Answering"

15 / 15 papers shown
Title
Mimic In-Context Learning for Multimodal Tasks
Mimic In-Context Learning for Multimodal Tasks
Yuchu Jiang
Jiale Fu
Chenduo Hao
Xinting Hu
Yingzhe Peng
Xin Geng
Xu Yang
29
0
0
11 Apr 2025
M2IV: Towards Efficient and Fine-grained Multimodal In-Context Learning in Large Vision-Language Models
M2IV: Towards Efficient and Fine-grained Multimodal In-Context Learning in Large Vision-Language Models
Yanshu Li
Hongyang He
Yi Cao
Qisen Cheng
Xiang Fu
Ruixiang Tang
VLM
42
0
0
06 Apr 2025
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Yanshu Li
44
0
0
05 Mar 2025
Adversarial Training for Multimodal Large Language Models against Jailbreak Attacks
Adversarial Training for Multimodal Large Language Models against Jailbreak Attacks
Liming Lu
Shuchao Pang
Siyuan Liang
Haotian Zhu
Xiyu Zeng
Aishan Liu
Yunhuai Liu
Yongbin Zhou
AAML
51
2
0
05 Mar 2025
FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA
FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA
S M Sarwar
80
1
0
25 Feb 2025
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
76
2
0
01 Oct 2024
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language
  Models
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models
Xu Yang
Yingzhe Peng
Haoxuan Ma
Shuo Xu
Chi Zhang
Yucheng Han
Hanwang Zhang
32
5
0
15 Dec 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
208
905
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
299
4,261
0
30 Jan 2023
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
Guosheng Lin
MLLM
BDL
VLM
CLIP
392
4,154
0
28 Jan 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
398
8,559
0
28 Jan 2022
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
279
1,124
0
18 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
3,858
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
1,312
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
243
1,924
0
31 Dec 2020
1