{"slug": "do-language-models-need-a-trainable-input-embedding-table-fixed-minimal-token-at", "title": "Do Language Models Need a Trainable Input Embedding Table? Fixed Minimal Token Codes at 1.7B-Class Scale", "summary": "A study at 1.7B-class scale found that a shared Transformer can learn language modeling from fixed token identities rather than a trainable input embedding table, according to the paper's headline claim. The research compares fixed minimal token codes against token-specific adjustable vectors to test whether per-token parameterization is required for substantial capability.", "body_md": "A trainable input embedding table assigns each vocabulary item an independently adjustable vector. We investigate whether this token-specific parameterization is required for substantial language-modeling capability, or whether a shared Transformer can learn from fixed token identities. We compare t", "url": "https://wpnews.pro/news/do-language-models-need-a-trainable-input-embedding-table-fixed-minimal-token-at", "canonical_source": "https://aiflash.com/news/132750/", "published_at": "2026-10-07 13:00:00+00:00", "updated_at": "2026-10-07 13:18:33.005343+00:00", "lang": "en", "topics": ["large-language-models", "ai-research", "machine-learning", "natural-language-processing"], "entities": [], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/do-language-models-need-a-trainable-input-embedding-table-fixed-minimal-token-at", "markdown": "https://wpnews.pro/news/do-language-models-need-a-trainable-input-embedding-table-fixed-minimal-token-at.md", "text": "https://wpnews.pro/news/do-language-models-need-a-trainable-input-embedding-table-fixed-minimal-token-at.txt", "jsonld": "https://wpnews.pro/news/do-language-models-need-a-trainable-input-embedding-table-fixed-minimal-token-at.jsonld"}}