Transparency Helps Reveal When Language Models Learn Meaning | Citedby Results | Transactions of the Association for Computational Linguistics | MIT Press

Skip to Main Content

Skip Nav Destination

Transparency Helps Reveal When Language Models Learn Meaning

Transactions of the Association for Computational Linguistics (2023) 11: 617–634.

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

Utilizing large language models for gastroenterology research: a conceptual framework

Parul Berry
Rohan Raju Dhanakshirur
Sahil Khanna

Therapeutic Advances in Gastroenterology (2025) 18

A Critical Review of Methods and Challenges in Large Language Models

Rhona Asgari
Milad Moradi
Ke Yan
David Colwell
Matthias Samwald

Computers, Materials & Continua (2025) 82 (2): 1681.

Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study

Majdi Quttainah
Vinaytosh Mishra
Somayya Madakam
Yotam Lurie
Shlomo Mark

JMIR AI (2024) 3: e51834.