Shahriar Golchin

2 accepted papers

2025

Grading Massive Open Online Courses Using Large Language Models

Shahriar Golchin, Nikhil Garuda, Christopher Impey, Matthew Wenger

COLING 2025main

Massive open online courses (MOOCs) offer free education globally. Despite this democratization of learning, the massive enrollment in these courses makes it impractical for an instructor to assess every student’s writing assignment. As a result, peer grading, often guided by a straightforward rubri…

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2024

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

Shahriar Golchin, Mihai Surdeanu

ICLR 2024spotlight

Data contamination, i.e., the presence of test data from downstream tasks in the training data of large language models (LLMs), is a potential major issue in measuring LLMs' real effectiveness on other tasks. We propose a straightforward yet effective method for identifying data contamination within…

Cited by 143 Source ↗PDF ↗code ↗Scholar ↗