output
20062025
most citedEpistatic pathways in evolvable mechanical networks

2 citations

8 papers

cs.CR2025

Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation

Rafiqul Rabin, Sean McGregor, Nick Judd

This paper explores the risk that a large language model (LLM) trained for code generation on data mined from software repositories will generate content that discloses sensitive i…

cond-mat.soft2024★ 2 cited

Epistatic pathways in evolvable mechanical networks

Samar Alqatari, Sidney Nagel

An elastic spring network is an example of evolvable matter. It can be pruned to couple separated pairs of nodes so that when a strain is applied to one of them, the other responds…

cs.DL2022★ 1 cited

Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org

Olivier Binette, Sokhna A York, Emma Hickerson +3

This paper introduces a novel evaluation methodology for entity resolution algorithms. It is motivated by PatentsView.org, a U.S. Patents and Trademarks Office patent data explorat…

cs.AI2008

Commonsense Knowledge, Ontology and Ordinary Language

Walid S. Saba

Over two decades ago a "quite revolution" overwhelmingly replaced knowledgebased approaches in natural language processing (NLP) by quantitative (e.g., statistical, corpus-based, m…

cs.CL2008

Concerning Olga, the Beautiful Little Street Dancer (Adjectives as Higher-Order Polymorphic Functions)

Walid S. Saba

In this paper we suggest a typed compositional seman-tics for nominal compounds of the form [Adj Noun] that models adjectives as higher-order polymorphic functions, and where types…

cs.AI2007★ 1 cited

Compositional Semantics Grounded in Commonsense Metaphysics

Walid S. Saba

We argue for a compositional semantics grounded in a strongly typed ontology that reflects our commonsense view of the world and the way we talk about it in ordinary language. Assu…