GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language

30 June 2022

Papers citing "GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language"

11 / 11 papers shown

Title
Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images Boyang Deng Songyou Peng Kyle Genova Gordon Wetzstein Noah Snavely Leonidas J. Guibas Thomas Funkhouser HAI 80 0 0 11 Apr 2025
Causal Inference on Outcomes Learned from Text Iman Modarressi Jann Spiess A. Venugopal CML SyDa 47 0 0 02 Mar 2025
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers Zeliang Zhang Mingqian Feng Zhiheng Li Chenliang Xu 47 8 0 19 Mar 2024
What is different between these datasets? Varun Babbar Zhicheng Guo Cynthia Rudin 57 1 0 08 Mar 2024
Rethinking Interpretability in the Era of Large Language Models Chandan Singh J. Inala Michel Galley Rich Caruana Jianfeng Gao LRM AI4CE 75 60 0 30 Jan 2024
Describing Differences in Image Sets with Natural Language Lisa Dunlap Yuhui Zhang Xiaohan Wang Ruiqi Zhong Trevor Darrell Jacob Steinhardt Joseph E. Gonzalez Serena Yeung-Levy CoGe VLM 25 30 0 05 Dec 2023
Goal-Driven Explainable Clustering via Language Descriptions Zihan Wang Jingbo Shang Ruiqi Zhong 25 35 0 23 May 2023
Explaining black box text modules in natural language with language models Chandan Singh Aliyah R. Hsu Richard Antonello Shailee Jain Alexander G. Huth Bin-Xia Yu Jianfeng Gao MILM 16 46 0 17 May 2023
Goal Driven Discovery of Distributional Differences via Language Descriptions Ruiqi Zhong Peter Zhang Steve Li Jinwoo Ahn Dan Klein Jacob Steinhardt 25 48 0 28 Feb 2023
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,249 0 02 Sep 2021
MLDemon: Deployment Monitoring for Machine Learning Systems Antonio A. Ginart Martin Jinye Zhang James Y. Zou 37 18 0 28 Apr 2021