1.2k citations · 1.3k across the 14 of their papers we have counts for
4 papers · 1 filter
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
Hritik Bansal, Da Yin, Masoud Monajatipoor +1
Text-to-image generative models have achieved unprecedented success in generating high-quality images based on natural language descriptions. However, it is shown that these models…
Towards a Unified Multi-Dimensional Evaluator for Text Generation
Ming Zhong, Yang Liu, Da Yin +6
Multi-dimensional evaluation is the dominant paradigm for human evaluation in Natural Language Generation (NLG), i.e., evaluating the generated text from multiple explainable dimen…
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models
Da Yin, Hritik Bansal, Masoud Monajatipoor +2
Recent work has shown that Pre-trained Language Models (PLMs) store the relational knowledge learned from data and utilize it for performing downstream tasks. However, commonsense…
Things not Written in Text: Exploring Spatial Commonsense from Visual Signals
Xiao Liu, Da Yin, Yansong Feng +1
Spatial commonsense, the knowledge about spatial position and relationship between objects (like the relative size of a lion and a girl, and the position of a boy relative to a bic…