---
title: "Adaku Uchendu — papers of 2026 — Elamur Research"
description: "Adaku Uchendu — papers of 2026: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Adaku Uchendu — papers of 2026 — Elamur Research

4 papers · [all years of Adaku Uchendu](https://md.research.elamur.ai/free/en/authors/adaku-uchendu/#years)

**[DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects](https://md.research.elamur.ai/free/en/papers/lucas-2026-dia-harm-dialectal-disparities-harmful/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jason S Lucas, Matt Murtagh White, Ali Al-Lawati, et al.*2026*

**[Synthetic Text Detection in the Age of Large Language Models: Watermark vs. Automatic Detection](https://md.research.elamur.ai/free/en/papers/uchendu-2026-synthetic-text-detection-age-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Adaku Uchendu*2026*

**[The Shape of Vulnerability: How Adversarial Perturbations Reshape the Topology of Language Model Latent Spaces](https://md.research.elamur.ai/free/en/papers/tsai-2026-shape-vulnerability-how-adversarial-perturbations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Angelina Tsai, Shreya Subramanian, Catherine Liu, et al.*2026*

**[Using Topological Data Analysis to Characterize the Layers of Language Models Before and After Word Substitution Attacks](https://md.research.elamur.ai/free/en/papers/tang-2026-topological-data-analysis-characterize-layers/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Adam Tang, Catherine Liu, Kimberly Lopez, et al.*2026*