3 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
Confidence Calibration in Large Language Model-Based Entity Matching
Iris Kamsteeg, Juan Cardenas-Cartagena, Floris van Beers +3
This research aims to explore the intersection of Large Language Models and confidence calibration in Entity Matching. To this end, we perform an empirical study to compare baselin…
Phrase-Level Adversarial Training for Mitigating Bias in Neural Network-based Automatic Essay Scoring
Haddad Philip, Tsegaye Misikir Tashu
Automatic Essay Scoring (AES) is widely used to evaluate candidates for educational purposes. However, due to the lack of representative data, most existing AES systems are not rob…
Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation
Tsegaye Misikir Tashu, Eduard-Raul Kontos, Matthia Sabatelli +1
Recommendation systems, for documents, have become tools to find relevant content on the Web. However, these systems have limitations when it comes to recommending documents in lan…
Deep Learning Architecture for Automatic Essay Scoring
Tsegaye Misikir Tashu, Chandresh Kumar Maurya, Tomas Horvath
Automatic evaluation of essay (AES) and also called automatic essay scoring has become a severe problem due to the rise of online learning and evaluation platforms such as Coursera…