5 citations · 5 across the 2 of their papers we have counts for
3 papers · 1 filter
Domain Adaptation of Foundation LLMs for e-Commerce
Christian Herold, Michael Kozielski, Tala Bazazo +6
We present the e-Llama models: 8 billion and 70 billion parameter large language models that are adapted towards the e-commerce domain. These models are meant as foundation models…
Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation
Prathyusha Jwalapuram, Barbara Rychalska, Shafiq Joty +1
Despite increasing instances of machine translation (MT) systems including contextual information, the evidence for translation quality improvement is sparse, especially for discou…
Are you tough enough? Framework for Robustness Validation of Machine Comprehension Systems
Barbara Rychalska, Dominika Basaj, Przemyslaw Biecek
Deep Learning NLP domain lacks procedures for the analysis of model robustness. In this paper we propose a framework which validates robustness of any Question Answering model thro…