6 papers
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…
Cross-Lingual Stability and Bias in Instruction-Tuned Language Models for Humanitarian NLP
Poli Nemkova, Amrit Adhikari, Matthew Pearson +2
Humanitarian organizations face a critical choice: invest in costly commercial APIs or rely on free open-weight models for multilingual human rights monitoring. While commercial sy…
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…
Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data
Poli Apollinaire Nemkova, Solomon Ubani, Mark V. Albert
In the era of increasingly sophisticated natural language processing (NLP) systems, large language models (LLMs) have demonstrated remarkable potential for diverse applications, in…
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…
NLP for Social Good: A Survey and Outlook of Challenges, Opportunities, and Responsible Deployment
Antonia Karamolegkou, Angana Borah, Eunjung Cho +30
Natural language processing (NLP) now shapes many aspects of our world, yet its potential for positive social impact is underexplored. This paper surveys work in ``NLP for Social G…