What Makes Good Examples for Visual In-Context Learning?

31 January 2023

Ziwei Liu

Papers citing "What Makes Good Examples for Visual In-Context Learning?"

50 / 86 papers shown

Title
Grounding Task Assistance with Multimodal Cues from a Single Demonstration Gabriel Sarch Balasaravanan Thoravi Kumaravel Sahithya Ravi Vibhav Vineet A. D. Wilson 146 0 0 02 May 2025
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning J. Wang Tianci Luo Yaohua Zha Yan Feng Ruisheng Luo B. Chen Tao Dai Long Chen Yaowei Wang Shu-Tao Xia VLM 60 0 0 30 Apr 2025
E-InMeMo: Enhanced Prompting for Visual In-Context Learning Jiahao Zhang Bowen Wang Hong Liu Liangzhi Li Yuta Nakashima Hajime Nagahara VLM 104 0 0 25 Apr 2025
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization Huiyi Chen Jiawei Peng Kaihua Tang Xin Geng Xu Yang 22 0 0 19 Apr 2025
Improving In-Context Learning with Reasoning Distillation Nafis Sadeq Xin Xu Zhouhang Xie Julian McAuley Byungkyu Kang Prarit Lamba Xiang Gao RALM ReLM LRM 33 0 0 14 Apr 2025
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning Zhong-Yu Li Ruoyi Du Juncheng Yan Le Zhuo Zhen Li Peng Gao Zhanyu Ma Ming-Ming Cheng VLM 72 2 0 10 Apr 2025
OmniSVG: A Unified Scalable Vector Graphics Generation Model Yiying Yang Wei Cheng Sijin Chen Xianfang Zeng Jiaxu Zhang Liao Wang Gang Yu Xingjun Ma Yu Jiang VLM 42 0 0 08 Apr 2025
PAVE: Patching and Adapting Video Large Language Models Zhuoming Liu Yiquan Li Khoi Duc Nguyen Yiwu Zhong Yin Li KELM LRM 83 0 0 25 Mar 2025
Show and Segment: Universal Medical Image Segmentation via In-Context Learning Yunhe Gao Di Liu Zhuowei Li Y. Li Dongdong Chen Mu Zhou Dimitris N. Metaxas VLM 53 0 0 25 Mar 2025
Edit Transfer: Learning Image Editing via Vision In-Context Relations Lan Chen Qi Mao Yuchao Gu Mike Zheng Shou 56 1 0 17 Mar 2025
KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation Zixian Liu Mingtong Zhang Yunzhu Li 54 0 0 13 Mar 2025
Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI? Qipan Xu Z. Wang Xiaoxiao He Ligong Han Ruixiang Tang 36 0 0 23 Feb 2025
Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models Qianqi Yan Yue Fan Hongquan Li Shan Jiang Yang Zhao Xinze Guan Ching-Chen Kuo X. Wang VLM LRM 71 2 0 22 Feb 2025
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning R. Bhope Praveen Venkateswaran K. R. Jayaram Vatche Isahagian Vinod Muthusamy N. Venkatasubramanian 52 0 0 20 Feb 2025
The in-context inductive biases of vision-language models differ across modalities Kelsey Allen Ishita Dasgupta Eliza Kosoy Andrew Kyle Lampinen 70 0 0 03 Feb 2025
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models Qinggang Zhang Shengyuan Chen Yuanchen Bei Zheng Yuan Huachi Zhou Zijin Hong Junnan Dong Hao-Heng Chen Yi-Ju Chang Xiao Huang 3DV 68 7 0 21 Jan 2025
Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Jinjing Zhu Songze Li Lin Wang 47 0 0 13 Jan 2025
Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval Yuanmin Tang Xiaoting Qin J. Zhang Jing Yu Gaopeng Gou Gang Xiong Qingwei Ling Saravan Rajmohan Dongmei Zhang Qi Wu LRM 66 1 0 15 Dec 2024
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation Bolin Lai F. Xu Miao Liu Xiaoliang Dai Nikhil Mehta ... Zeyi Huang James M. Rehg Sangmin Lee Ning Zhang Tong Xiao 73 2 0 02 Dec 2024
Enhancing Visual Reasoning with Autonomous Imagination in Multimodal Large Language Models J. Liu Yumeng Li Boyuan Xiao Yichang Jian Ziang Qin Tianjia Shao Yao-Xiang Ding Kun Zhou MLLM LRM 100 3 0 27 Nov 2024
CoA: Chain-of-Action for Generative Semantic Labels Meng Wei Zhongnian Li Peng Ying Xinzheng Xu VLM 74 0 0 26 Nov 2024
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting Jie Xu Xiaokang Li Chengyu Yue Yuanyuan Wang Yi Guo MedIm 74 1 0 26 Nov 2024
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals Hussni Mohd Zakir Eric Tatt Wei Ho VLM 72 0 0 21 Nov 2024
What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration L. Qin Qiguang Chen Hao Fei Zhi Chen Min Li Wanxiang Che 39 5 0 27 Oct 2024
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor Sahar Ahmadi A. Cheraghian Morteza Saberi Md. Towsif Abir Hamidreza Dastmalchi Farookh Hussain Shafin Rahman 3DPC 28 2 0 11 Oct 2024
Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning? Bowen Zhao Leo Parker Dirac Paulina Varshavskaya VLM LRM 26 0 0 25 Sep 2024
Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction Lei Chu Daoud Burghal Rui Wang Michael Neuman A. Molisch 45 0 0 16 Sep 2024
Image Segmentation in Foundation Model Era: A Survey Tianfei Zhou Fei Zhang Boyu Chang Wenguan Wang Ye Yuan E. Konukoglu Daniel Cremers VLM 42 4 0 23 Aug 2024
Cropper: Vision-Language Model for Image Cropping through In-Context Learning Seung Hyun Lee Junjie Ke Yinxiao Li Junfeng He Steven Hickson ... Irfan Essa Sangpil Kim Ming-Hsuan Yang Irfan Essa Feng Yang VLM 46 0 0 14 Aug 2024
Can LLMs predict the convergence of Stochastic Gradient Descent? Hiroki Sakaji Abdelhakim Benechehab Wataru Kuramoto LRM 54 2 0 03 Aug 2024
Large Vision-Language Models as Emotion Recognizers in Context Awareness Yuxuan Lei Dingkang Yang Zhaoyu Chen Jiawei Chen Peng Zhai Lihua Zhang 32 3 0 16 Jul 2024
BadRobot: Jailbreaking Embodied LLMs in the Physical World Hangtao Zhang Chenyu Zhu Xianlong Wang Ziqi Zhou Yichen Wang ... Shengshan Hu Leo Yu Zhang Aishan Liu Peijin Guo Leo Yu Zhang LM&Ro 47 7 0 16 Jul 2024
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection Chenwei Wu David Restrepo Zitao Shuai Zhongming Liu Liyue Shen VLM 35 1 0 15 Jul 2024
Visual Prompt Selection for In-Context Learning Segmentation Wei Suo Lanqing Lai Mengyang Sun Hanwang Zhang Peng Wang Yanning Zhang VLM 42 3 0 14 Jul 2024
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding Jincen Jiang Qianyu Zhou Yuhang Li Xuequan Lu Meili Wang Lizhuang Ma Jian Chang Jian Jun Zhang OOD 50 13 0 11 Jul 2024
ControlVAR: Exploring Controllable Visual Autoregressive Modeling Xiang Li Kai Qiu Hao Chen Jason Kuen Zhe-nan Lin Rita Singh Bhiksha Raj DiffM 43 21 0 14 Jun 2024
Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning Cheng Tan Jingxuan Wei Linzhuang Sun Zhangyang Gao Siyuan Li Bihui Yu Ruifeng Guo Stan Z. Li ReLM LRM 3DV 66 6 0 31 May 2024
On the Noise Robustness of In-Context Learning for Text Generation Hongfu Gao Feipeng Zhang Wenyu Jiang Jun Shu Feng Zheng Hongxin Wei 58 3 0 27 May 2024
Unsupervised Meta-Learning via In-Context Learning Anna Vettoruzzo Lorenzo Braccaioli Joaquin Vanschoren M. Nowaczyk SSL 59 0 0 25 May 2024
Towards Global Optimal Visual In-Context Learning Prompt Selection Chengming Xu Chen Liu Yikai Wang Yanwei Fu 21 5 0 24 May 2024
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning Guanglin Zhou Zhongyi Han Shiming Chen Biwei Huang Liming Zhu Salman Khan Xin Gao Lina Yao VLM 44 2 0 20 May 2024
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning? Yang Luo Zangwei Zheng Zirui Zhu Yang You 41 5 0 19 Apr 2024
Experimental Design for Active Transductive Inference in Large Language Models Subhojyoti Mukherjee Anusha Lalitha Aniket Deshmukh Ge Liu Yifei Ma B. Kveton LRM 37 1 0 12 Apr 2024
LLMs in Biomedicine: A study on clinical Named Entity Recognition Masoud Monajatipoor Jiaxin Yang Joel Stremmel Melika Emami Fazlolah Mohaghegh Mozhdeh Rouhsedaghat Kai-Wei Chang LM&MA 29 17 0 10 Apr 2024
Finding Visual Task Vectors Alberto Hojel Yutong Bai Trevor Darrell Amir Globerson Amir Bar 62 6 0 08 Apr 2024
Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning Hao Shao Shengju Qian Han Xiao Guanglu Song Zhuofan Zong Letian Wang Yu Liu Hongsheng Li VGen LRM MLLM 63 37 0 25 Mar 2024
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation Lei Wang Ee-Peng Lim RALM 27 5 0 15 Mar 2024
Explore In-Context Segmentation via Latent Diffusion Models Chaoyang Wang Xiangtai Li Henghui Ding Lu Qi Jiangning Zhang Yunhai Tong Chen Change Loy Shuicheng Yan DiffM 63 6 0 14 Mar 2024
In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model Junhui Yin Xinyu Zhang Lin Wu Xianghua Xie Xiaojie Wang VPVLM VLM MLLM 25 2 0 10 Mar 2024
VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models Wenhao Wang Yi Yang VGen DiffM 33 31 0 10 Mar 2024