e-SNLI-VE: Corrected Visual-Textual Entailment with Natural Language Explanations

7 April 2020

Papers citing "e-SNLI-VE: Corrected Visual-Textual Entailment with Natural Language Explanations"

7 / 7 papers shown

Title
Towards Efficient and Robust VQA-NLE Data Generation with Large Vision-Language Models Patrick Amadeus Irawan Genta Indra Winata Samuel Cahyawijaya Ayu Purwarianti 25 0 0 23 Sep 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models Hao Fang Jiawei Kong Wenbo Yu Bin Chen Jiawei Li Hao Wu Ke Xu Ke Xu AAML VLM 30 13 0 08 Jun 2024
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 388 4,010 0 28 Jan 2022
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation Junnan Li Ramprasaath R. Selvaraju Akhilesh Deepak Gotmare Shafiq R. Joty Caiming Xiong S. Hoi FaML 31 1,876 0 16 Jul 2021
Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference Riko Suzuki Hitomi Yanaka K. Mineshima D. Bekki VGen MLLM 13 1 0 27 Jun 2021
On the Diversity and Limits of Human Explanations Chenhao Tan 13 31 0 22 Jun 2021
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 252 618 0 04 Dec 2018