Adaku Uchendu

According to our database1, Adaku Uchendu authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Unveiling Topological Structures in Text: A Comprehensive Survey of Topological Data Analysis Applications in NLP.
CoRR, 2024

Beemo: Benchmark of Expert-edited Machine-generated Outputs.
CoRR, 2024

PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection.
CoRR, 2024

GPT-who: An Information Density-based Machine-Generated Text Detector.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Authorship Obfuscation in Multilingual Machine-Generated Text Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

TopFormer: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective.
SIGKDD Explor., 2023

TopRoBERTa: Topology-Aware Authorship Attribution of Deepfake Texts.
CoRR, 2023

Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts.
CoRR, 2023


HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks.
Proceedings of the Fourth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2021

2020
Authorship Attribution for Neural Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
A Reverse Turing Test for Detecting Machine-Made Texts.
Proceedings of the 11th ACM Conference on Web Science, 2019

Characterizing Man-made vs. Machine-made Chatbot Dialogs.
Proceedings of the 2019 Truth and Trust Online Conference (TTO 2019), 2019


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