A Compact Pretraining Approach for Neural Language Models. - Shahriar Golchin; Mihai Surdeanu; Nazgol Tavabi; Ata M. Kiapour (CoRR, 2022)

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 (BioNLP@ACL, 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 (ISQED, 2023)

Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords. - Shahriar Golchin; Mihai Surdeanu; Nazgol Tavabi; Ata M. Kiapour (RepL4NLP@ACL, 2023)

Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models. - Shahriar Golchin; Mihai Surdeanu (CoRR, 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 Report from the 2024 CONDA Shared Task. - Oscar Sainz; Iker García-Ferrero; Alon Jacovi; Jon Ander Campos; Yanai Elazar; Eneko Agirre; Yoav Goldberg; Wei-Lin Chen; Jenny Chim; Leshem Choshen; Luca D'Amico-Wong; Melissa Dell; et al. (CONDA, 2024)

Time Travel in LLMs: Tracing Data Contamination in Large Language Models. - Shahriar Golchin; Mihai Surdeanu (ICLR, 2024)

Building large-scale registries from unstructured clinical notes using a low-resource natural language processing pipeline. - Nazgol Tavabi; James D. Pruneski; Shahriar Golchin; Mallika Singh; Ryan Sanborn; Benton Heyworth; Assaf Landschaft; Amir A. Kimia; Ata M. Kiapour (Artif. Intell. Medicine, 2024)

Large Language Models As MOOCs Graders. - Shahriar Golchin; Nikhil Garuda; Christopher Impey; Matthew C. Wenger (CoRR, 2024)

Memorization In In-Context Learning. - Shahriar Golchin; Mihai Surdeanu; Steven Bethard; Eduardo Blanco 002; Ellen Riloff (CoRR, 2024)

Using Large Language Models for Automated Grading of Student Writing about Science. - Christopher Impey; Matthew C. Wenger; Nikhil Garuda; Shahriar Golchin; Sarah Stamer (CoRR, 2024)

Grading Massive Open Online Courses Using Large Language Models. - Shahriar Golchin; Nikhil Garuda; Christopher Impey; Matthew C. Wenger (COLING, 2025)

Towards Compute-Optimal Many-Shot In-Context Learning. - Shahriar Golchin; Yanfei Chen; Rujun Han; Manan Gandhi; Tianli Yu; Swaroop Mishra; Mihai Surdeanu; Rishabh Agarwal; Chen-Yu Lee; Tomas Pfister (CoRR, 2025)