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2020 – today
- 2024
[j2]Nazgol Tavabi, James D. Pruneski, Shahriar Golchin, Mallika Singh, Ryan Sanborn, Benton Heyworth, Assaf Landschaft, Amir A. Kimia, Ata M. Kiapour:
Building large-scale registries from unstructured clinical notes using a low-resource natural language processing pipeline. Artif. Intell. Medicine 151: 102847 (2024)- [c4]Shahriar Golchin, Mihai Surdeanu:
Time Travel in LLMs: Tracing Data Contamination in Large Language Models. ICLR 2024 - [i8]Shahriar Golchin, Nikhil Garuda, Christopher Impey, Matthew C. Wenger:
Large Language Models As MOOCs Graders. CoRR abs/2402.03776 (2024) - [i7]Shahriar Golchin, Nikhil Garuda, Christopher Impey, Matthew C. Wenger:
Grading Massive Open Online Courses Using Large Language Models. CoRR abs/2406.11102 (2024) - [i6]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:
Data Contamination Report from the 2024 CONDA Shared Task. CoRR abs/2407.21530 (2024) - [i5]Shahriar Golchin, Mihai Surdeanu, Steven Bethard, Eduardo Blanco, Ellen Riloff:
Memorization In In-Context Learning. CoRR abs/2408.11546 (2024) - 2023
- [j1]Nazgol Tavabi
, Marium Raza, Mallika Singh, Shahriar Golchin, Harsev Singh, Grant D. Hogue, Ata M. Kiapour:
Disparities in cannabis use and documentation in electronic health records among children and young adults. npj Digit. Medicine 6 (2023) - [c3]Shilpa Suresh, Nazgol Tavabi, Shahriar Golchin, Leah Gilreath, Rafael Garcia-Andujar, Alexander Kim, Joseph Murray, Blake Bacevich, Ata M. Kiapour:
Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER. BioNLP@ACL 2023: 320-325 - [c2]Rakibul Hassan, Charan Bandi, Meng-Tien Tsai, Shahriar Golchin, Sai Manoj P. D., Setareh Rafatirad, Soheil Salehi:
Automated Supervised Topic Modeling Framework for Hardware Weaknesses. ISQED 2023: 1-8 - [c1]Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour:
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords. RepL4NLP@ACL 2023: 13-21 - [i4]Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour:
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords. CoRR abs/2307.07160 (2023) - [i3]Shahriar Golchin, Mihai Surdeanu:
Time Travel in LLMs: Tracing Data Contamination in Large Language Models. CoRR abs/2308.08493 (2023) - [i2]Shahriar Golchin, Mihai Surdeanu:
Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models. CoRR abs/2311.06233 (2023) - 2022
- [i1]Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour:
A Compact Pretraining Approach for Neural Language Models. CoRR abs/2208.12367 (2022)
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