Papers by Gail Forey
Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation (2024.emnlp-main)
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| Challenge: | Domain experts in engineering, healthcare, and education follow strict standards for producing quality content. |
| Approach: | They propose a retrieval-style in-context learning-based framework to guide large language models to align with expert-defined standards. |
| Outcome: | The proposed framework shows that models can gain 45% to 100% increase in precise accuracy across open and commercial LLMs evaluated. |
UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment (2025.emnlp-main)
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Joseph Marvin Imperial, Abdullah Barayan, Regina Stodden, Rodrigo Wilkens, Ricardo Muñoz Sánchez, Lingyun Gao, Melissa Torgbi, Dawn Knight, Gail Forey, Reka R. Jablonkai, Ekaterina Kochmar, Robert Joshua Reynolds, Eugénio Ribeiro, Horacio Saggion, Elena Volodina, Sowmya Vajjala, Thomas François, Fernando Alva-Manchego, Harish Tayyar Madabushi
| Challenge: | Language proficiency research plays a central role in education and often intersects with advances in linguistics and AI. |
| Approach: | They propose a multilingual multidimensional dataset of texts annotated according to the CEFR scale in 13 languages. |
| Outcome: | The proposed dataset supports linguistic features and pretrained models in multilingual CEFR level assessment. |