Shahriar Golchin

21 papers A* 1B 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Intent Laundering: AI Safety Datasets Are Not What They Seem.
CoRR
Shahriar Golchin, Marc Wetter
2025 J jnl
Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models.
Trans. Assoc. Comput. Linguistics
Shahriar Golchin, Mihai Surdeanu
2025 B conf
Grading Massive Open Online Courses Using Large Language Models.
COLING
Shahriar Golchin, Nikhil Garuda, Christopher Impey, Matthew C. Wenger
2025 J jnl
Towards Compute-Optimal Many-Shot In-Context Learning.
CoRR
Shahriar Golchin, Yanfei Chen, Rujun Han, Manan Gandhi, Tianli Yu, Swaroop Mishra, Mihai Surdeanu, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister
2025 J jnl
Using Large Language Models for Automated Grading of Student Writing about Science.
Int. J. Artif. Intell. Educ.
Christopher Impey, Matthew C. Wenger, Nikhil Garuda, Shahriar Golchin, Sarah Stamer
2024 J jnl
Building large-scale registries from unstructured clinical notes using a low-resource natural language processing pipeline.
Artif. Intell. Medicine
Nazgol Tavabi, James D. Pruneski, Shahriar Golchin, Mallika Singh, Ryan Sanborn, Benton Heyworth, Assaf Landschaft, Amir A. Kimia, Ata M. Kiapour
2024 — conf
Data Contamination Report from the 2024 CONDA Shared Task.
CONDA
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, Run-Ze Fan, Shahriar Golchin, Yucheng Li, Pengfei Liu, Bhavish Pahwa, Ameya Prabhu, Suryansh Sharma, Emily Silcock, Kateryna Solonko, David Stap, Mihai Surdeanu, Yu-Min Tseng, Vishaal Udandarao, Zengzhi Wang, Ruijie Xu, Jinglin Yang
2024 J jnl
Data Contamination Report from the 2024 CONDA Shared Task.
CoRR
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, Run-Ze Fan, Shahriar Golchin, Yucheng Li, Pengfei Liu, Bhavish Pahwa, Ameya Prabhu, Suryansh Sharma, Emily Silcock, Kateryna Solonko, David Stap, Mihai Surdeanu, Yu-Min Tseng, Vishaal Udandarao, Zengzhi Wang, Ruijie Xu, Jinglin Yang
2024 J jnl
Grading Massive Open Online Courses Using Large Language Models.
CoRR
Shahriar Golchin, Nikhil Garuda, Christopher Impey, Matthew C. Wenger
2024 J jnl
Large Language Models As MOOCs Graders.
CoRR
Shahriar Golchin, Nikhil Garuda, Christopher Impey, Matthew C. Wenger
2024 J jnl
Memorization In In-Context Learning.
CoRR
Shahriar Golchin, Mihai Surdeanu, Steven Bethard, Eduardo Blanco, Ellen Riloff
2024 A* conf
Time Travel in LLMs: Tracing Data Contamination in Large Language Models.
ICLR
Shahriar Golchin, Mihai Surdeanu
2024 J jnl
Using Large Language Models for Automated Grading of Student Writing about Science.
CoRR
Christopher Impey, Matthew C. Wenger, Nikhil Garuda, Shahriar Golchin, Sarah Stamer
2023 — conf
Automated Supervised Topic Modeling Framework for Hardware Weaknesses.
ISQED
Rakibul Hassan, Charan Bandi, Meng-Tien Tsai, Shahriar Golchin, Sai Manoj P. D., Setareh Rafatirad, Soheil Salehi
2023 J jnl
Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models.
CoRR
Shahriar Golchin, Mihai Surdeanu
2023 J jnl
Disparities in cannabis use and documentation in electronic health records among children and young adults.
npj Digit. Medicine
Nazgol Tavabi, Marium M. Raza, Mallika Singh, Shahriar Golchin, Harsev Singh, Grant D. Hogue, Ata M. Kiapour
2023 — conf
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords.
RepL4NLP@ACL
Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour
2023 J jnl
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords.
CoRR
Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour
2023 — conf
Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER.
BioNLP@ACL
Shilpa Suresh, Nazgol Tavabi, Shahriar Golchin, Leah Gilreath, Rafael Garcia-Andujar, Alexander Kim, Joseph Murray, Blake Bacevich, Ata M. Kiapour
2023 J jnl
Time Travel in LLMs: Tracing Data Contamination in Large Language Models.
CoRR
Shahriar Golchin, Mihai Surdeanu
2022 J jnl
A Compact Pretraining Approach for Neural Language Models.
CoRR
Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour