Elamur Research⌕
☰
home / authors / Adaku Uchendu

Adaku Uchendu

Adaku Uchendu has 2 papers in our library, in 2020–2021, most of them on Text generation, Evaluation & benchmarks; often with Dongwon Lee, Thai Le, Rui Zhang.

2 papers in our library · 2020–2021

OpenAlex · ORCID · Wikidata · h-index 9 · 51 works · 428 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 177 citations in our library · 6 more in our library without a page yet · ⭐ Paper Star rank #4030

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬MIT Lincoln LaboratoryLexington · United States2021–2026 · 31 papersEmploymentcurrent🎓Massachusetts Institute of TechnologyCambridge · United States2021–2026 · 17 paperscurrent🎓Pennsylvania State UniversityState College · United States2019–2023 · 11 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4 Artificial Intelligence · 2 works Arts and Humanities · 2 works Computer Science · 2 works Language and Linguistics · 2 works

🧭 Topics 2 Text generation · 2 works Evaluation & benchmarks · 1 work

 Works by year

2020s

20211 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Authorship Attribution for Neural Text Generation (2020 · 196 citations)
    This EMNLP 2020 study treats the detection of neural text generators as an authorship problem. It asks three questions. First, do two texts come from the same source? Second, was a text produced by a person or by a machine? Third, which of k = 8 candidate generators produced a given text? The authors assembled a…
  2. TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation (2021 · 140 citations)
    As neural language models produce increasingly fluent text, telling machine output apart from human writing has become a practical concern, for example in countering fake news and propaganda.

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Authorship Attribution for Neural Text GenerationAdaku Uchendu, Thai Le, Kai Shu, et al.Conference on Empirical Methods in Natural… · 196 citations
  2. TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text GenerationAdaku Uchendu, Zeyu Ma, Thai Le, et al.Findings of the Association for Computational… · 140 citations
  3. Authorship Obfuscation in Multilingual Machine-Generated Text Detection (original ↗)Dominik Macko et al.2024 · Findings of the Association for Computational… · 24 citations · no summary yet
  4. A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts (original ↗)Nafis Irtiza Tripto et al.2024 · Proceedings of the 62nd Annual Meeting of the… · 24 citations · no summary yet
  5. DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects (original ↗)Jason S Lucas et al.2026 · Proceedings of the 64th Annual Meeting of the… · no summary yet
  6. Using Topological Data Analysis to Characterize the Layers of Language Models Before and After Word Substitution Attacks (original ↗)Adam Tang et al.2026 · Proceedings of the Second Workshop on… · no summary yet
  7. The Shape of Vulnerability: How Adversarial Perturbations Reshape the Topology of Language Model Latent Spaces (original ↗)Angelina Tsai et al.2026 · Proceedings of the 64th Annual Meeting of the… · no summary yet
  8. Synthetic Text Detection in the Age of Large Language Models: Watermark vs. Automatic Detection (original ↗)Uchendu, Adaku2026 · Proceedings of the 64th Annual Meeting of the… · no summary yet

 Co-authors here

3 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 177 times (of the 141,840 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/adaku-uchendu/