arXiv (All)
open access
Factual Access States in Diffusion Language Models: From Mechanism to Knowledge Editing and Retrieval
Factual recall is a lookup: some representation inside the network serves as the key, and what that key is made of decides which queries can retrieve the fact, what an edit must cover, and what a retriever can read. We call it the factual access state. In autoregressive (AR) models the subject posit
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
- Knowledge Editing for Masked Diffusion Language Models#924094
- Knowledge Editing for Masked Diffusion Language Models#919865
- Where and Why Search-Augmented LLMs Fail When Reasoning over Rapidly Evolving Knowledge#1400153
- On the Recoverability of Private Information Unlearning in Large Language Models#799191
- Improving Atomic-Fact Recall via Focused Views in Unstructured Knowledge Editing#1187086
Record · ID 1403376
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