5 papers
Why AI Detection Fails for Academic Integrity
Jonathan A. Karr, Grigorii Khvatskii, Ting Hua +1
Institutions use commercial AI detectors for academic integrity, yet detectors cannot distinguish AI editing from full LLM drafts and may treat both as misconduct. In a controlled…
Human-AI Co-Mentorship in Project-Based Learning: A Case Study in Financial Forecasting
Freyaa Chawla, Ahan Chawla, Rishi Singh +2
This paper reflects on a AI research project carried out by a team of high-school and early-undergraduate students under the mentorship of graduate researchers and ably assisted by…
Breaking Language Barriers: Equitable Performance in Multilingual Language Models
Tanay Nagar, Grigorii Khvatskii, Anna Sokol +1
Cutting-edge LLMs have emerged as powerful tools for multilingual communication and understanding. However, LLMs perform worse in Common Sense Reasoning (CSR) tasks when prompted i…
Do Multimodal Large Language Models Understand Welding?
Grigorii Khvatskii, Yong Suk Lee, Corey Angst +3
This paper examines the performance of Multimodal LLMs (MLLMs) in skilled production work, with a focus on welding. Using a novel data set of real-world and online weld images, ann…
Class-Aware Contrastive Optimization for Imbalanced Text Classification
Grigorii Khvatskii, Nuno Moniz, Khoa Doan +1
The unique characteristics of text data make classification tasks a complex problem. Advances in unsupervised and semi-supervised learning and autoencoder architectures addressed s…