Parameter-efficient fine-tuning of large language models using semantic knowledge tuning. [PDF]
Prottasha NJ +6 more
europepmc +1 more source
Legal Information Retrieval and Entailment Using Transformer-based Approaches. [PDF]
Kim MY +4 more
europepmc +1 more source
Projection or admittance? Presupposition accommodation and the Karttunen calculus. [PDF]
Winter Y.
europepmc +1 more source
MelAnalyze: fact-checking melatonin claims using large language models and natural language inference. [PDF]
Karkera N +3 more
europepmc +1 more source
Overview and Discussion of the Competition on Legal Information, Extraction/Entailment (COLIEE) 2023. [PDF]
Goebel R +5 more
europepmc +1 more source
SNLI Indo: A recognizing textual entailment dataset in Indonesian derived from the Stanford Natural Language Inference dataset. [PDF]
Putra IMS, Siahaan D, Saikhu A.
europepmc +1 more source
What is the <i>point</i> of a base system? Denotation, computation and the non-integers. [PDF]
Parkinson-Coombs O, Núñez R.
europepmc +1 more source
Learning to explain is a good biomedical few-shot learner. [PDF]
Chen P, Wang J, Luo L, Lin H, Yang Z.
europepmc +1 more source
Risk-aware multiple-choice question answering with conformal P-values. [PDF]
Fu W, Ye Y, Yang G, Wei Y, Zhang L.
europepmc +1 more source

