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pro vyhledávání: '"Riezler"'
Preference Optimization (PO) techniques are currently one of the state of the art techniques for fine-tuning large language models (LLMs) on pairwise preference feedback from human annotators. However, in machine translation, this sort of feedback ca
Externí odkaz:
http://arxiv.org/abs/2410.02320
Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting
Machine learning for early syndrome diagnosis aims to solve the intricate task of predicting a ground truth label that most often is the outcome (effect) of a medical consensus definition applied to observed clinical measurements (causes), given clin
Externí odkaz:
http://arxiv.org/abs/2408.03816
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 7, Pp 233-248 (2019)
In many machine learning scenarios, supervision by gold labels is not available and conse quently neural models cannot be trained directly by maximum likelihood estimation. In a weak supervision scenario, metric-augmented objectives can be employed t
Externí odkaz:
https://doaj.org/article/f2a018e1be9240748622542dd57d1cd0
While large language models (LLMs) pre-trained on massive amounts of unpaired language data have reached the state-of-the-art in machine translation (MT) of general domain texts, post-editing (PE) is still required to correct errors and to enhance te
Externí odkaz:
http://arxiv.org/abs/2406.02267
Validity problems in clinical machine learning by indirect data labeling using consensus definitions
We demonstrate a validity problem of machine learning in the vital application area of disease diagnosis in medicine. It arises when target labels in training data are determined by an indirect measurement, and the fundamental measurements needed to
Externí odkaz:
http://arxiv.org/abs/2311.03037
Publikováno v:
Transactions of the Association for Computational Linguistics (2024) 12: 562 to 575
We present Text-to-OverpassQL, a task designed to facilitate a natural language interface for querying geodata from OpenStreetMap (OSM). The Overpass Query Language (OverpassQL) allows users to formulate complex database queries and is widely adopted
Externí odkaz:
http://arxiv.org/abs/2308.16060
Publikováno v:
In Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023), pages 89-101
End-to-end automatic speech translation (AST) relies on data that combines audio inputs with text translation outputs. Previous work used existing large parallel corpora of transcriptions and translations in a knowledge distillation (KD) setup to dis
Externí odkaz:
http://arxiv.org/abs/2307.08426
Supervised learning in Neural Machine Translation (NMT) typically follows a teacher forcing paradigm where reference tokens constitute the conditioning context in the model's prediction, instead of its own previous predictions. In order to alleviate
Externí odkaz:
http://arxiv.org/abs/2307.08416