arXiv (OAI Expanded)
open access
Identifying Crucial Attention Heads for Multilingual Language Models: Retrieval and Retrieval-Transition Heads
Retrieval heads, a subset of attention heads in Transformers, were studied in English, showing its crucial role in retrieving information from the context. We expand the study of retrieval heads to multilingual context and find that while nearly half of all retrieval heads are often shared across mu
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
- Shifting Mechanisms: How Positional Encoding Choice Shapes In-Context Retrieval#1143131
- There is No Theoretical Curse of Multilinguality For Embedding Space Structure#985214
- Language Models Can Control Their Own Attention#632836
- Large Language Models as Distributional Baselines for Language Tasks.#1134425
- Implicit vs. Explicit Prompting Strategies for LVLMs in Referential Communication#821917
Record · ID 1070770
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