25 citations · 28 across the 7 of their papers we have counts for
5 papers · 1 filter
KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting
Thilini Wijesiriwardene, Ruwan Wickramarachchi, Sreeram Vennam +5
Making analogies is fundamental to cognition. Proportional analogies, which consist of four terms, are often used to assess linguistic and cognitive abilities. For instance, comple…
On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models
Thilini Wijesiriwardene, Ruwan Wickramarachchi, Aishwarya Naresh Reganti +4
The ability of Large Language Models (LLMs) to encode syntactic and semantic structures of language is well examined in NLP. Additionally, analogy identification, in the form of wo…
ANALOGICAL -- A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models
Thilini Wijesiriwardene, Ruwan Wickramarachchi, Bimal G. Gajera +6
Over the past decade, analogies, in the form of word-level analogies, have played a significant role as an intrinsic measure of evaluating the quality of word embedding methods suc…
UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus
Thilini Wijesiriwardene, Vinh Nguyen, Goonmeet Bajaj +7
The UMLS Metathesaurus integrates more than 200 biomedical source vocabularies. During the Metathesaurus construction process, synonymous terms are clustered into concepts by human…
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus
Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene +5
The current UMLS (Unified Medical Language System) Metathesaurus construction process for integrating over 200 biomedical source vocabularies is expensive and error-prone as it rel…