2 papers
cs.CL2024
Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models
Ioana Buhnila, Aman Sinha, Mathieu Constant
Recent surge in the accessibility of large language models (LLMs) to the general population can lead to untrackable use of such models for medical-related recommendations. Language…
cs.CL2024
Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?
Aman Sinha, Timothee Mickus, Marianne Clausel +2
The success of pretrained language models (PLMs) across a spate of use-cases has led to significant investment from the NLP community towards building domain-specific foundational…