activity
20032025
most citedClustering by compression

62 citations · 228 across the 11 of their papers we have counts for

collaborators

12 papers

cs.AI2025

Understanding AI Evaluation Patterns: How Different GPT Models Assess Vision-Language Descriptions

Sajjad Abdoli, Rudi Cilibrasi, Rima Al-Shikh

As AI systems increasingly evaluate other AI outputs, understanding their assessment behavior becomes crucial for preventing cascading biases. This study analyzes vision-language d…

cs.CL2009★ 26 cited

Normalized Web Distance and Word Similarity

Rudi L. Cilibrasi, Paul M. B. Vitanyi

There is a great deal of work in cognitive psychology, linguistics, and computer science, about using word (or phrase) frequencies in context in text corpora to develop measures fo…

cs.IR2008★ 5 cited

Normalized Information Distance

Paul M. B. Vitanyi, Frank J. Balbach, Rudi L. Cilibrasi +1

The normalized information distance is a universal distance measure for objects of all kinds. It is based on Kolmogorov complexity and thus uncomputable, but there are ways to util…

cs.DC2006

About the Lifespan of Peer to Peer Networks

R. Cilibrasi, Z. Lotker, A. Navarra +2

We analyze the ability of peer to peer networks to deliver a complete file among the peers. Early on we motivate a broad generalization of network behavior organizing it into one o…

cs.DS2006★ 16 cited

A New Quartet Tree Heuristic for Hierarchical Clustering

Rudi Cilibrasi, Paul M. B. Vitanyi

We consider the problem of constructing an an optimal-weight tree from the 3*(n choose 4) weighted quartet topologies on n objects, where optimality means that the summed weight of…

cs.CV2006★ 31 cited

Similarity of Objects and the Meaning of Words

Rudi Cilibrasi, Paul Vitanyi

We survey the emerging area of compression-based, parameter-free, similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extracti…