Figshare
open access
CC BY 4.0
<b>Markovian Analysis in Language Modeling:</b>
Abstract This paper formalizes a mathematical framework for analyzing textual structure through the application of Markovian constraints in language modeling (Bonlarron & Régin, 2024). By leveraging n-gram probability distributions, we examine the structural indic
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.
2026-11-08T11:32:09Z https://api.figshare.com/v2/oai The request includes illegal arguments, is missing required arguments, includes a repeated argument, or values for arguments have an illegal syntax.
Related documents
- A Survey on Evaluation of Large Language Models#16569
- FASTSUBS: an efficient and exact procedure for finding the most likely lexical substitutes based on an N-gram language model#954709
- Conformalized Large Language Models under Configuration Shift#793820
- Conformalized Large Language Models under Configuration Shift#789815
- A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage#335847
Record · ID 1596202 · SHA-256 68a3c2bbe5a90403
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