Beyond the Parameter Monolith: Reconstructive Memories, Executable Skills, and Residual Assembly for Language Models Paper • 2610.04012 • Published 9 days ago • 2
Language Models Without a Trainable Input Embedding Table: Learning from Fixed Minimal Binary Token Codes Paper • 2605.09751 • Published May 10
Do Language Models Need a Trainable Input Embedding Table? Fixed Minimal Token Codes at 1.7B-Class Scale Paper • 2610.04002 • Published 9 days ago • 4
Beyond the Parameter Monolith: Reconstructive Memories, Executable Skills, and Residual Assembly for Language Models Paper • 2610.04012 • Published 9 days ago • 2
view article Article Token Identity Is Not Meaning: What Fixed-Input Language Models Can Teach Us Bochkov • 3 days ago
Language Models Without a Trainable Input Embedding Table Collection This collection is provided for reproducibility of the paper's main claim • 4 items • Updated 3 days ago
Beyond the Parameter Monolith: Modular Language Modeling Collection This collection is provided for reproducibility of the paper's main claim • 3 items • Updated 3 days ago
Do Language Models Need a Trainable Input Embedding Table? Collection This collection is provided for reproducibility of the paper's main claim • 4 items • Updated 3 days ago
Do Language Models Need a Trainable Input Embedding Table? Fixed Minimal Token Codes at 1.7B-Class Scale Paper • 2610.04002 • Published 9 days ago • 4
Beyond the Parameter Monolith: Modular Language Modeling Collection This collection is provided for reproducibility of the paper's main claim • 3 items • Updated 3 days ago