arXiv (OAI Expanded)
open access
Inherited Heads: Audio language models track speakers with their text backbone's attention, and an attention-mass ranking retrieves a different set
Asked to describe what one of six speakers in a recording talks about, audio language models describe the right one on 6 to 16% of trials, below the 16.7% a guess would give. Adding a fixed bias to the attention logits of a hundred heads, under a tenth of the model's and with no training, redirects
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
- FlexiSLM: A Spoken Language Model with Dynamic and Controllable Frame Rates#652373
- FlexiSLM: A Spoken Language Model with Dynamic and Controllable Frame Rates#650920
- Fast cars, slow words? Tracking processing of concurrent speaking and driving in real time.#659512
- Head-Centred Sound Localisation Behaviour Reveals Head and World Centered Reference Frames in Auditory Cortex#367209
- Focus Where It Counts: A Salience-Driven Vision-Language Model for Low Vision Assistance#784969
Record · ID 1083636
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