GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling

7 April 2024

Papers citing "GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling"

5 / 5 papers shown

Title
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness Tanmay Parekh Jeffrey Kwan Jiarui Yu Sparsh Johri Hyosang Ahn Sreya Muppalla Kai-Wei Chang Wei Wang Nanyun Peng 29 1 0 24 Oct 2024
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles Tanmay Parekh I-Hung Hsu Kuan-Hao Huang Kai-Wei Chang Nanyun Peng 36 15 0 25 May 2022
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners Zhenhailong Wang Manling Li Ruochen Xu Luowei Zhou Jie Lei ... Chenguang Zhu Derek Hoiem Shih-Fu Chang Mohit Bansal Heng Ji MLLM VLM 153 134 0 22 May 2022
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 301 11,730 0 04 Mar 2022
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 380 4,010 0 28 Jan 2022