ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time

9 October 2024

Papers citing "ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time"

7 / 57 papers shown

Title
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 754 12,835 0 04 Mar 2022
CLIPScore: A Reference-free Evaluation Metric for Image Captioning Jack Hessel Ari Holtzman Maxwell Forbes Ronan Le Bras Yejin Choi CLIP 117 1,545 0 18 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 808 29,167 0 26 Feb 2021
Towards VQA Models That Can Read Amanpreet Singh Vivek Natarajan Meet Shah Yu Jiang Xinlei Chen Dhruv Batra Devi Parikh Marcus Rohrbach EgoV 69 1,210 0 18 Apr 2019
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 126 3,282 0 12 Jun 2017
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering Yash Goyal Tejas Khot D. Summers-Stay Dhruv Batra Devi Parikh CoGe 320 3,224 0 02 Dec 2016
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 367 43,524 0 01 May 2014