A literature survey that organizes spoken language models by architecture, training, and evaluation choices and identifies key challenges and future directions.
Slamming: Training a speech language model on one gpu in a day.arXiv preprint arXiv:2502.15814
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
On The Landscape of Spoken Language Models: A Comprehensive Survey
A literature survey that organizes spoken language models by architecture, training, and evaluation choices and identifies key challenges and future directions.