4 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…
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…
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…
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…