2 citations
8 papers
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…
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…
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…
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…
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…
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…