19 citations · 40 across the 21 of their papers we have counts for
5 papers · 1 filter
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
Sandesh Pokhrel, Sanjay Bhandari, Sharib Ali +7
The integration of deep learning tools in gastrointestinal vision holds the potential for significant advancements in diagnosis, treatment, and overall patient care. A major challe…
The Effect of Education in Prompt Engineering: Evidence from Journalists
Amirsiavosh Bashardoust, Yuanjun Feng, Dominique Geissler +2
Large language models (LLMs) are increasingly used in daily work. In this paper, we analyze whether training in prompt engineering can improve the interactions of users with LLMs.…
Difficulty Estimation and Simplification of French Text Using LLMs
Henri Jamet, Yash Raj Shrestha, Michalis Vlachos
We leverage generative large language models for language learning applications, focusing on estimating the difficulty of foreign language texts and simplifying them to lower diffi…
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities
Pranav Poudel, Prashant Shrestha, Sanskar Amgain +3
Multimodal AI has demonstrated superior performance over unimodal approaches by leveraging diverse data sources for more comprehensive analysis. However, applying this effectivenes…
Comparing the willingness to share for human-generated vs. AI-generated fake news
Amirsiavosh Bashardoust, Stefan Feuerriegel, Yash Raj Shrestha
Generative artificial intelligence (AI) presents large risks for society when it is used to create fake news. A crucial factor for fake news to go viral on social media is that use…