Auditing large language models: a three-layered approach
Large language models (LLMs) represent a major advance in artificial intelligence (AI)
research. However, the widespread use of LLMs is also coupled with significant ethical and …
research. However, the widespread use of LLMs is also coupled with significant ethical and …
Evaluation benchmarks for Spanish sentence representations
Due to the success of pre-trained language models, versions of languages other than
English have been released in recent years. This fact implies the need for resources to …
English have been released in recent years. This fact implies the need for resources to …
[PDF][PDF] Automatic Section Classification in Spanish Clinical Narratives Using Chunked Named Entity Recognition.
The extraction and classification of important information from Spanish Electronic Clinical
Narratives (ECNs) can be challenging due to the complexity of the clinical text and the …
Narratives (ECNs) can be challenging due to the complexity of the clinical text and the …
Learning Sentence-Level Representations with Predictive Coding
Learning sentence representations is an essential and challenging topic in the deep
learning and natural language processing communities. Recent methods pre-train big …
learning and natural language processing communities. Recent methods pre-train big …
A methodology for a scalable, collaborative, and resource-efficient platform, MERLIN, to facilitate healthcare AI research
RY Cohen, VP Kovacheva - IEEE journal of biomedical and …, 2023 - ieeexplore.ieee.org
Healthcare artificial intelligence (AI) holds the potential to increase patient safety, augment
efficiency and improve patient outcomes, yet research is often limited by data access, cohort …
efficiency and improve patient outcomes, yet research is often limited by data access, cohort …
SILT: Efficient transformer training for inter-lingual inference
The ability of transformers to perform precision tasks such as question answering, Natural
Language Inference (NLI) or summarizing, has enabled them to be ranked as one of the …
Language Inference (NLI) or summarizing, has enabled them to be ranked as one of the …
BERTwich: Extending BERT's Capabilities to Model Dialectal and Noisy Text
A Srivastava, D Chiang - Findings of the Association for …, 2023 - aclanthology.org
Real-world NLP applications often deal with nonstandard text (eg, dialectal, informal, or
misspelled text). However, language models like BERT deteriorate in the face of dialect …
misspelled text). However, language models like BERT deteriorate in the face of dialect …