12 citations · 25 across the 6 of their papers we have counts for
8 papers
Improving Access to Historical Archives with Real-time RAG-based Systems
Stergios Konstantinidis, Hayman Lotfy, Alexis Erne +3
Digitized historical archives are large, heterogeneous cultural heritage repositories, but access methods for such archives face challenges such as noisy optical character recognit…
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…
Large Language Models for Difficulty Estimation of Foreign Language Content with Application to Language Learning
Michalis Vlachos, Mircea Lungu, Yash Raj Shrestha +1
We use large language models to aid learners enhance proficiency in a foreign language. This is accomplished by identifying content on topics that the user is interested in, and th…
Towards LLM-based Autograding for Short Textual Answers
Johannes Schneider, Bernd Schenk, Christina Niklaus
Grading exams is an important, labor-intensive, subjective, repetitive, and frequently challenging task. The feasibility of autograding textual responses has greatly increased than…
A Survey of Deep Learning: From Activations to Transformers
Johannes Schneider, Michalis Vlachos
Deep learning has made tremendous progress in the last decade. A key success factor is the large amount of architectures, layers, objectives, and optimization techniques. They incl…
Reflective-Net: Learning from Explanations
Johannes Schneider, Michalis Vlachos
We examine whether data generated by explanation techniques, which promote a process of self-reflection, can improve classifier performance. Our work is based on the idea that huma…
Explaining Neural Networks by Decoding Layer Activations
Johannes Schneider, Michalis Vlachos
We present a `CLAssifier-DECoder' architecture (\emph{ClaDec}) which facilitates the comprehension of the output of an arbitrary layer in a neural network (NN). It uses a decoder t…
Deceptive AI Explanations: Creation and Detection
Johannes Schneider, Christian Meske, Michalis Vlachos
Artificial intelligence (AI) comes with great opportunities but can also pose significant risks. Automatically generated explanations for decisions can increase transparency and fo…