Bandit-based model selection matches or slightly improves on the best single NMT system for in-domain English-to-African translation, but the claimed high-confidence statistical support is absent.
A survey on multi-player bandits
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Due mostly to its application to cognitive radio networks, multiplayer bandits gained a lot of interest in the last decade. A considerable progress has been made on its theoretical aspect. However, the current algorithms are far from applicable and many obstacles remain between these theoretical results and a possible implementation of multiplayer bandits algorithms in real cognitive radio networks. This survey contextualizes and organizes the rich multiplayer bandits literature. In light of the existing works, some clear directions for future research appear. We believe that a further study of these different directions might lead to theoretical algorithms adapted to real-world situations.
fields
cs.CL 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
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In-Domain African Languages Translation Using LLMs and Multi-armed Bandits
Bandit-based model selection matches or slightly improves on the best single NMT system for in-domain English-to-African translation, but the claimed high-confidence statistical support is absent.