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Always, Sometimes & LLMs: Evaluating Temporal Logic in Large Language Models
Author: DAVOR PAVITSEmail: stud-pavits@ruc.dk Supervisor: Torben BraünerEmail: torben@ruc.dk Abstract This study evaluates the ability of smaller scale Language Models to reason about temporal inferences under Priorean tense logic. A dataset of temporal inference tasks was constructed, including valid and invalid inference patterns, with sensical and nonsensical predicates to isolate structure from world knowledge. Four models […]
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Video Tutorial: LLM Text Classification
Reposting of a recording description from: https://interactivehpc.dk/?p=2844 The purpose of this webinar is to demonstrate how to perform automated text classification using pre-trained, open-source large language models (LLMs). The efficiency that This webinar demonstrates how to perform automated text classification using pre-trained, open-source large language models (LLMs). The use case is classification of text according […]