Search Results for author:
Found 6 papers, 5 papers with code
Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
Our findings underscore the pressing need to bolster the cross-lingual capacities of these models, and to provide an equitable information ecosystem accessible to all.
Understanding the Humans Behind Online Misinformation: An Observational Study Through the Lens of the COVID-19 Pandemic
The proliferation of online misinformation has emerged as one of the biggest threats to society.
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
We present a systematic study and comprehensive evaluation of large language models for automatic multilingual readability assessment.
"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning
Hence, we collect and label two datasets with 3, 102 and 3, 509 social media posts from Twitter and Gab respectively.
AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts
While extensive popularity of online social media platforms has made information dissemination faster, it has also resulted in widespread online abuse of different types like hate speech, offensive language, sexist and racist opinions, etc.
Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels
We also show experimentally that the proposed algorithms successfully learn accurate classifiers using interval labels as well as exact labels.
