activity
20232026
most citedZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT

19 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

LIME-LLM: Probing Models with Fluent Counterfactuals, Not Broken Text

George Mihaila, Suleyman Olcay Polat, Poli Nemkova +3

Local explanation methods such as LIME (Ribeiro et al., 2016) remain fundamental to trustworthy AI, yet their application to NLP is limited by a reliance on random token masking. T…

cs.LG2025

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method

Suleyman Olcay Polat, Poli A. Nemkova, Mark V. Albert

Model distillation enables the transfer of knowledge from large-scale models to compact student models, facilitating deployment in resource-constrained environments. However, conve…

cs.CY2025

Towards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports

Poli A. Nemkova, Suleyman O. Polat, Rafid I. Jahan +4

Timely and accurate situation awareness is vital for decision-making in humanitarian response, conflict monitoring, and early warning and early action. However, the manual analysis…

cs.CY2023★ 2 cited

Detecting Human Rights Violations on Social Media during Russia-Ukraine War

Poli Nemkova, Solomon Ubani, Suleyman Olcay Polat +2

The present-day Russia-Ukraine military conflict has exposed the pivotal role of social media in enabling the transparent and unbridled sharing of information directly from the fro…

cs.AI2023★ 19 cited

ZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT

Solomon Ubani, Suleyman Olcay Polat, Rodney Nielsen

In this paper, we investigate the use of data obtained from prompting a large generative language model, ChatGPT, to generate synthetic training data with the aim of augmenting dat…