Summary of Generating Out-of-distribution Scenarios Using Language Models, by Erfan Aasi et al.
Generating Out-Of-Distribution Scenarios Using Language Modelsby Erfan Aasi, Phat Nguyen, Shiva Sreeram, Guy Rosman, Sertac…
Generating Out-Of-Distribution Scenarios Using Language Modelsby Erfan Aasi, Phat Nguyen, Shiva Sreeram, Guy Rosman, Sertac…
Learn from Foundation Model: Fruit Detection Model without Manual Annotationby Yanan Wang, Zhenghao Fei, Ruichen…
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Makingby Jonathan Light, Sixue…
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Modelsby Jiahao Wang,…
Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecastingby Liran Nochumsohn, Michal Moshkovitz, Orly Avner,…
Context-Aware Multimodal Pretrainingby Karsten Roth, Zeynep Akata, Dima Damen, Ivana Balažević, Olivier J. HénaffFirst submitted…
FuseGPT: Learnable Layers Fusion of Generative Pre-trained Transformersby Zehua Pei, Hui-Ling Zhen, Xianzhi Yu, Sinno…
Beyond Training: Dynamic Token Merging for Zero-Shot Video Understandingby Yiming Zhang, Zhuokai Zhao, Zhaorun Chen,…
Learning to Cooperate with Humans using Generative Agentsby Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon…
COOD: Concept-based Zero-shot OOD Detectionby Zhendong Liu, Yi Nian, Henry Peng Zou, Li Li, Xiyang…