activity
20242026
most citedGuarded Query Routing for Large Language Models

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2026

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing

Richard Šléher, William Brach, Kristián Košťál +1

We study the problem of guarded query routing, where we assume that a user query first meets a router that either determines the ideal endpoint for in-distribution queries or rejec…

cs.CL2026

SommBench: Assessing Sommelier Expertise of Language Models

William Brach, Tomas Bedej, Jacob Nielsen +10

With the rapid advances of large language models, it becomes increasingly important to systematically evaluate their multilingual and multicultural capabilities. Previous cultural…

cs.AI20251 cited

Guarded Query Routing for Large Language Models

Richard Šléher, William Brach, Tibor Sloboda +2

Query routing, the task to route user queries to different large language model (LLM) endpoints, can be considered as a text classification problem. However, out-of-distribution qu…

cs.AI20251 cited

The Effectiveness of Large Language Models in Transforming Unstructured Text to Standardized Formats

William Brach, Kristián Košťál, Michal Ries

The exponential growth of unstructured text data presents a fundamental challenge in modern data management and information retrieval. While Large Language Models (LLMs) have shown…

cs.DC2024

Towards Proxy Staking Accounts Based on NFTs in Ethereum

Viktor Valaštín, Roman Bitarovský, Kristián Košťál +1

Blockchain is a technology that is often used to share data and assets. However, in the decentralized ecosystem, blockchain-based systems can be utilized to share information and a…