arXiv (All)
open access
Interleaved Speech Language Models Latently Work In Text
Speech language models (SLMs) increasingly combine speech and text, often by interleaving their tokens within a single sequence. Yet how these two modalities interact in the model's latent space remains unclear. In this work, we analyze interleaved speech--text LMs from different model families and
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Can Released LLM Vocabularies Support Token-Level Estimation of Hidden Corpora?#799045
- DPRM: A Plug-in Doob h transform-induced Token-Ordering Module for Diffusion Language Models#138951
- Your Transformer Can Hold Two Thoughts at Once: Evidence of Linear Superposition in LLMs#1077772
- Debias-SparseGPT: Bias-Aware Pruning for Large Language Models#924373
- Debias-SparseGPT: Bias-Aware Pruning for Large Language Models#920142
Record · ID 973229
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive