Generate, Annotate, and Learn: NLP with Synthetic Text (2022 · 69 citations)
Many NLP tasks, especially GLUE tasks with sentence-pair inputs, lack in-domain unlabeled text, which limits self-training and knowledge distillation (KD).
MedDCR: Learning to Design Agentic Workflows for Medical Coding (2026 · 2 citations)
Assigning ICD codes to clinical notes involves several reasoning stages: spotting diagnoses, consulting code indexes, enforcing guideline rules and checking consistency.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

Generate, Annotate, and Learn: NLP with Synthetic TextTransactions of the Association for Computational Linguistics (TACL)Xuanli He, Islam Nassar, Jamie Kiros, et al.2022 · 69 citations
Neural Versus Non-Neural Text Simplification: A Case Study ↗Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association · no summary yetIslam Nassar, Michelle Ananda-Rajah, Gholamreza Haffari2019 · 13 citations
MedDCR: Learning to Design Agentic Workflows for Medical CodingFindings of the Association for Computational LinguisticsJiyang Zheng, Islam Nassar, Thanh Vu, et al.2026 · 2 citations

Co-authors here

6 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 39 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated 31 October 2026