Shahriar Golchin

According to our database, Shahriar Golchin authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Large Language Models As MOOCs Graders.

Shahriar Golchin, Nikhil Garuda, Christopher Impey, Matthew C. Wenger

CoRR, 2024

2023

Disparities in cannabis use and documentation in electronic health records among children and young adults.

Nazgol Tavabi, Marium Raza, Mallika Singh, Shahriar Golchin, Harsev Singh, Grant D. Hogue, Ata M. Kiapour

npj Digit. Medicine, 2023

Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models.

Shahriar Golchin, Mihai Surdeanu

CoRR, 2023

Time Travel in LLMs: Tracing Data Contamination in Large Language Models.

Shahriar Golchin, Mihai Surdeanu

CoRR, 2023

Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords.

Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Automated Supervised Topic Modeling Framework for Hardware Weaknesses.

Rakibul Hassan, Charan Bandi, Meng-Tien Tsai, Shahriar Golchin, Sai Manoj P. D., Setareh Rafatirad, Soheil Salehi

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER.

Shilpa Suresh, Nazgol Tavabi, Shahriar Golchin, Leah Gilreath, Rafael Garcia-Andujar, Alexander Kim, Joseph Murray, Blake Bacevich, Ata M. Kiapour

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022

A Compact Pretraining Approach for Neural Language Models.

Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour

CoRR, 2022