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News/RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding
arxiv
PublishedSeptember 11, 2026 at 4:00 AM
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RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding

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arXiv:2609.10305v1 Announce Type: cross Abstract: Language models under one million parameters matter for edge deployment, domain adaptation, and reproducible research, yet a two-layer LSTM or Transformer at embedding width d = 128 still spends roughly one third of its capacity on the output matrix

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