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Chasing comet: Leveraging minimum bayes risk decoding for self-improving machine translation
K Guttmann, M Pokrywka, A Charkiewicz… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper explores Minimum Bayes Risk (MBR) decoding for self-improvement in machine
translation (MT), particularly for domain adaptation and low-resource languages. We …
translation (MT), particularly for domain adaptation and low-resource languages. We …
Segment-level evaluation of machine translation metrics
N Moghe - 2024 - era.ed.ac.uk
Most metrics evaluating Machine Translation (MT) claim their effectiveness by demonstrating
their ability to distinguish the quality of different MT systems over a large corpus (system …
their ability to distinguish the quality of different MT systems over a large corpus (system …
Chatting Over Course Material: The Role of Retrieval Augmented Generation Systems in Enhancing Academic Chatbots.
H Monteiro - 2024 - diva-portal.org
Abstract Large Language Models (LLMs) have the potential to enhance learning among
students. These tools can be used in chatbot systems allowing students to ask questions …
students. These tools can be used in chatbot systems allowing students to ask questions …