We have 3 of 32 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
A comprehensive study on PPT spanning five PPT tasks, four PT data mixtures, four parameter scales (500M to 7B), and PT budgets of up to 100B tokens finds that downstream gains arise from PPT tasks that improve long-range retrieval.
This paper proposes MultiHashFormer, a new framework that allows hash-based autoregression that consistently outperforms standard Transformer LMs across multiple benchmarks and shows that the model handles multilingual vocabulary expansion with a constant parameter footprint without any modifications.
This paper initializes byte embeddings directly from the subword representations of a frozen base model, applies a chunk alignment loss to project dynamically grouped byte chunks toward precomputed subword targets, and interleave lightweight part-of-speech supervision to guide boundary detection.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
