19 citations · 34 across the 22 of their papers we have counts for
5 papers · 1 filter
Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance
Damian Horna, Lango Mateusz, Jerzy Stefanowski
Improving the classification of multi-class imbalanced data is more difficult than its two-class counterpart. In this paper, we use deep neural networks to train new representation…
The Problem of Coherence in Natural Language Explanations of Recommendations
Jakub Raczyński, Mateusz Lango, Jerzy Stefanowski
Providing natural language explanations for recommendations is particularly useful from the perspective of a non-expert user. Although several methods for providing such explanatio…
Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation
Mateusz Lango, Ondřej Dušek
Hallucination of text ungrounded in the input is a well-known problem in neural data-to-text generation. Many methods have been proposed to mitigate it, but they typically require…
With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector
Ondřej Plátek, Mateusz Lango, Ondřej Dušek
This work presents our efforts to reproduce the results of the human evaluation experiment presented in the paper of Vamvas and Sennrich (2022), which evaluated an automatic system…
Three Ways of Using Large Language Models to Evaluate Chat
Ondřej Plátek, Vojtěch Hudeček, Patricia Schmidtová +2
This paper describes the systems submitted by team6 for ChatEval, the DSTC 11 Track 4 competition. We present three different approaches to predicting turn-level qualities of chatb…