Papers by Elena Eneva
Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements (P19-1)
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Saeideh Shahrokh Esfahani, Michael J. Cafarella, Maziyar Baran Pouyan, Gregory DeAngelo, Elena Eneva, Andy E. Fano
| Challenge: | Human trafficking is a worldwide crisis. |
| Approach: | They propose a method to detect trafficking ads on online sites using natural language processing using a pre-trained textual language model. |
| Outcome: | The proposed classifier significantly outperforms any single feature set alone. |
Not Your Typical Government Tipline: LLM-Assisted Routing of Environmental Protection Agency Citizen Tips (2025.emnlp-main)
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| Challenge: | Regulatory agencies often operate with limited resources and rely on tips to identify violations . but processing these tips at scale presents significant operational challenges . a case study shows advances in large language models can be utilized to support overburdened agencies . |
| Approach: | They analyze thousands of citizen tips from the EPA's "Report a Violation" system to develop an LLM-assisted pipeline for tip routing. |
| Outcome: | The proposed approach filters out 80.5% of irrelevant tips and increases overall routing accuracy from 31.8% to 82.4% compared to the current system. |