Dingyun-Huang/oe-roberta-base-qa

The OE-RoBERTa model is domain adapted from RoBERTa-base over research literature in optoelectronics. The adapted model is then fine-tuned on SQuAD v1.1 for question answering capabilities.

Model Details

Model Description

• Language(s) (NLP): English
• Adapted from model: FacebookAI/roberta-base

Model Sources

• Repository: OptoelectronicsLM-codebase (GitHub)
• Paper: Cost-Efficient Domain-Adaptive Pretraining of Language Models for Optoelectronics Applications

Uses

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("question-answering", model="Dingyun-Huang/oe-roberta-base-qa")

Citation

BibTeX:

@article{doi:10.1021/acs.jcim.4c02029,
  author = {Huang, Dingyun and Cole, Jacqueline M.},
  title = {Cost-Efficient Domain-Adaptive Pretraining of Language Models for Optoelectronics Applications},
  journal = {Journal of Chemical Information and Modeling},
  volume = {65},
  number = {5},
  pages = {2476-2486},
  year = {2025},
  doi = {10.1021/acs.jcim.4c02029},
      note ={PMID: 39933074},
  URL = {
          https://doi.org/10.1021/acs.jcim.4c02029
  },
  eprint = { 
          https://doi.org/10.1021/acs.jcim.4c02029
  }
}