6 citations · 10 across the 4 of their papers we have counts for
4 papers · 1 filter
XFEVER: Exploring Fact Verification across Languages
Yi-Chen Chang, Canasai Kruengkrai, Junichi Yamagishi
This paper introduces the Cross-lingual Fact Extraction and VERification (XFEVER) dataset designed for benchmarking the fact verification models across different languages. We cons…
Outlier-Aware Training for Improving Group Accuracy Disparities
Li-Kuang Chen, Canasai Kruengkrai, Junichi Yamagishi
Methods addressing spurious correlations such as Just Train Twice (JTT, arXiv:2107.09044v2) involve reweighting a subset of the training set to maximize the worst-group accuracy. H…
A Multi-Level Attention Model for Evidence-Based Fact Checking
Canasai Kruengkrai, Junichi Yamagishi, Xin Wang
Evidence-based fact checking aims to verify the truthfulness of a claim against evidence extracted from textual sources. Learning a representation that effectively captures relatio…
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks
Bosheng Ding, Linlin Liu, Lidong Bing +5
Data augmentation techniques have been widely used to improve machine learning performance as they enhance the generalization capability of models. In this work, to generate high q…